124 written publications with individual bylines and contributor credits. Blog and newsletter Deepdives are deduplicated; podcast episodes and titles beginning The Pulse remain outside the collection. Public text and restricted previews are identified.
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P001Pragmatic Engineerpublic text
Gergely Orosz · 2024-10-15
Collects engineers’ and leaders’ accounts of leaving large companies for reasons including learning, autonomy, career progression, layoffs and compensation.
Evidence, context & provenance
Evidence boundary Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Reveals multiple motivations and trade-offs behind departures; the cases cannot estimate attrition prevalence or an AI-driven employment effect.
Source type, as recorded: Industry/practitioner publication — practitioner interview synthesis
Editorial use. Departure accounts illuminate career fit and learning opportunities; they do not isolate AI-driven displacement.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles
All preserved graph attributes
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"group": "Jobs & roles",
"year": "2024",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/leaving-big-tech",
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"contribution": "Collects engineers’ and leaders’ accounts of leaving large companies for reasons including learning, autonomy, career progression, layoffs and compensation.",
"in_short": "Collects engineers’ and leaders’ accounts of leaving large companies for reasons including learning, autonomy, career progression, layoffs and compensation.",
"summary": "Collects engineers’ and leaders’ accounts of leaving large companies for reasons including learning, autonomy, career progression, layoffs and compensation.",
"main_findings": "Reveals multiple motivations and trade-offs behind departures; the cases cannot estimate attrition prevalence or an AI-driven employment effect.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Departure accounts illuminate career fit and learning opportunities; they do not isolate AI-driven displacement.",
"evidence_class": "Industry/practitioner publication — practitioner interview synthesis",
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"access_status": "public_text",
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"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
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"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Career-transition interviews support organizational context, not a measured effect of AI on retention.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
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}P002Pragmatic Engineerpublic text
Gergely Orosz · 2024-10-18
Discusses the WordPress plugin-directory dispute, distinguishing permission to fork source from control over a distribution channel and its existing users.
Evidence, context & provenance
Evidence boundaryUpdated 19 October 2024. Disputed motivations and legal characterizations are attributed, not adjudicated. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2024-10-17. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Useful as an ecosystem-governance and dependency-trust case. The headline is an argumentative question, not a legal finding of theft.
Source type, as recorded: Industry/practitioner publication — reported governance commentary
Editorial use. The dispute concerns authority over software distribution and dependencies; retain contested legal characterizations as allegations.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Dependencies and agent supply chain · Specifications and governance
All preserved graph attributes
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"year": "2024",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/did-automattic-commit-open-source-theft/",
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"contribution": "Discusses the WordPress plugin-directory dispute, distinguishing permission to fork source from control over a distribution channel and its existing users.",
"in_short": "Discusses the WordPress plugin-directory dispute, distinguishing permission to fork source from control over a distribution channel and its existing users.",
"summary": "Discusses the WordPress plugin-directory dispute, distinguishing permission to fork source from control over a distribution channel and its existing users.",
"main_findings": "Useful as an ecosystem-governance and dependency-trust case. The headline is an argumentative question, not a legal finding of theft.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Updated 19 October 2024. Disputed motivations and legal characterizations are attributed, not adjudicated. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2024-10-17. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The dispute concerns authority over software distribution and dependencies; retain contested legal characterizations as allegations.",
"evidence_class": "Industry/practitioner publication — reported governance commentary",
"reviewed_evidence_class": "Industry/practitioner publication — reported governance commentary",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
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"relevance": "GENERAL_SE",
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"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C11;C06",
"section_id": "11.3;6.5",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "WordPress/Automattic dispute is attributed governance reporting; not an independently adjudicated legal conclusion.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P003Pragmatic Engineerpaid preview
Gergely Orosz · 2024-10-22
Combines employment-change and job-listing data to describe variation in engineering demand, seniority, geography and company hiring.
Evidence, context & provenance
Evidence boundaryLive Data Technologies and TrueUp use proprietary coverage; TrueUp explicitly concentrates on Big Tech and selected startups. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible analysis stresses a changed market, but job listings and inferred employment changes measure different populations and do not isolate an AI effect.
Source type, as recorded: Industry/practitioner publication — industry observational data analysis
Editorial use. Hiring and employment indicators contextualize AI-era labor claims without identifying an AI treatment effect.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Dataset provenance and dependency
All preserved graph attributes
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"group": "Jobs & roles",
"year": "2024",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/state-of-eng-market-2024",
"source_url": "https://newsletter.pragmaticengineer.com/p/state-of-eng-market-2024",
"url": "https://newsletter.pragmaticengineer.com/p/state-of-eng-market-2024",
"publication_date": "2024-10-22",
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"in_short": "Combines employment-change and job-listing data to describe variation in engineering demand, seniority, geography and company hiring.",
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"main_findings": "The visible analysis stresses a changed market, but job listings and inferred employment changes measure different populations and do not isolate an AI effect.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Live Data Technologies and TrueUp use proprietary coverage; TrueUp explicitly concentrates on Big Tech and selected startups. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Hiring and employment indicators contextualize AI-era labor claims without identifying an AI treatment effect.",
"evidence_class": "Industry/practitioner publication — industry observational data analysis",
"reviewed_evidence_class": "Industry/practitioner publication — industry observational data analysis",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
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"empirical_replication_status": "NOT_PERFORMED",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Employment and vacancy providers cover different populations; do not equate job listings, total employment and AI displacement.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
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}P004Pragmatic Engineerpaid preview
Gergely Orosz · 2024-10-29
Uses startup hiring accounts to examine when large-company experience transfers well and when established processes or specialized tools become liabilities.
Evidence, context & provenance
Evidence boundaryAnonymous, selected startup accounts; not representative estimates of Big Tech employees’ competence. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The accessible cases encourage assessing relevant ownership and adaptability rather than treating employer prestige as sufficient evidence of fit.
Source type, as recorded: Industry/practitioner publication — practitioner interview synthesis
Editorial use. Transfer of experience across organizations is an onboarding and recruitment question, not proof of employer-based ability.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Employment and early-career roles · Onboarding and developer fluency
All preserved graph attributes
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"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/hiring-from-big-tech",
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"main_findings": "The accessible cases encourage assessing relevant ownership and adaptability rather than treating employer prestige as sufficient evidence of fit.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Anonymous, selected startup accounts; not representative estimates of Big Tech employees’ competence. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Transfer of experience across organizations is an onboarding and recruitment question, not proof of employer-based ability.",
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"reviewed_evidence_class": "Industry/practitioner publication — practitioner interview synthesis",
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}P005Pragmatic Engineerpublic text
Gergely Orosz; Cindy Sridharan · 2024-11-05
Cindy Sridharan discusses organizational constraints, implicit hierarchies, communication and incremental improvements from an individual-contributor perspective.
Evidence, context & provenance
Evidence boundaryEdited and updated 2024 edition of a 2022 essay; retained as the in-window edition, not a newly collected empirical study. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The essay connects effective engineering with context and achievable changes, rather than assuming technical merit alone determines adoption.
Source type, as recorded: Industry/practitioner publication — updated guest essay
Editorial use. Organizational communication, responsibility and feasible change are general engineering context; not agent memory, code-comprehension evidence or a mentoring intervention.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 11: Teams, Governance and the Engineering OrganizationEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Ownership and knowledge transfer
All preserved graph attributes
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"source": "https://newsletter.pragmaticengineer.com/p/how-to-become-a-more-effective-engineer",
"source_url": "https://newsletter.pragmaticengineer.com/p/how-to-become-a-more-effective-engineer",
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"main_findings": "The essay connects effective engineering with context and achievable changes, rather than assuming technical merit alone determines adoption.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
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"evidence_class": "Industry/practitioner publication — updated guest essay",
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"classification_rationale": "Organizational communication, responsibility and feasible change are general engineering context; not agent memory, code-comprehension evidence or a mentoring intervention.",
"relevance": "GENERAL_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "updated_guest_essay",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C11",
"section_id": "11.2",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "ADAPTED_OR_EXCERPTED_WORK",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Explicitly revised 2024 guest edition of a 2022 essay is eligible; retain original-author credit and prior-version provenance.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz; Cindy Sridharan",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
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}P006Pragmatic EngineerIn the published NDSE2 bibliographypublic text
Gergely Orosz; Elin Nilsson · 2024-11-12
Explains deterministic simulation, replay and fault exploration through Antithesis, alongside debugging history and engineering trade-offs.
Evidence, context & provenance
Evidence boundaryOriginally paid in November 2024; made public with a May 2026 update disclosing Antithesis as a podcast sponsor. Original article date retained. A later notice makes the article public in May 2026 and mentions subsequent podcast sponsorship. Treat those notices separately from the original November 2024 reporting; an original historical capture was not available. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Provides a concrete external-testing example relevant to verification beyond generated tests; vendor capabilities are not independently benchmarked here.
Source type, as recorded: Industry/practitioner publication — reported company case and technical explainer
Editorial use. Deterministic simulation supplies an external verification example; transferring it to agent-produced changes requires its own evaluation.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Independent verification and oracles · Evaluation methodology and baselines
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
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"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
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"url": "https://newsletter.pragmaticengineer.com/p/antithesis",
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"limitation": "Originally paid in November 2024; made public with a May 2026 update disclosing Antithesis as a podcast sponsor. Original article date retained. A later notice makes the article public in May 2026 and mentions subsequent podcast sponsorship. Treat those notices separately from the original November 2024 reporting; an original historical capture was not available. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Deterministic simulation supplies an external verification example; transferring it to agent-produced changes requires its own evaluation.",
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"empirical_replication_status": "NOT_PERFORMED",
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"publication_curator": "Gergely Orosz",
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"book_use_access_boundary": "Inspected public passages only; corpus-level full-text restrictions unchanged",
"ndse2_actual_chapters_json": "[\"C:C07\"]",
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}P007Pragmatic Engineerpaid preview
Gergely Orosz · 2024-11-19
Discusses recruitment timing, compensation, flexibility and the portability of large-company experience to startups.
Evidence, context & provenance
Evidence boundaryRelated interview series with Part 1; reported company stereotypes should not be generalized. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The public outline identifies context-sensitive recruitment considerations rather than a universal ranking of companies or candidates.
Source type, as recorded: Industry/practitioner publication — practitioner interview synthesis
Editorial use. The second hiring installment addresses fit and transition constraints, rather than repeating Part 1 verbatim.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Economic costs and return
All preserved graph attributes
{
"label": "Hiring software engineers and engineering leaders from Big Tech (Part 2)",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Jobs & roles",
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"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/hiring-from-big-tech-part-2",
"source_url": "https://newsletter.pragmaticengineer.com/p/hiring-from-big-tech-part-2",
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"access_status": "paid_preview",
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"classification_rationale": "The second hiring installment addresses fit and transition constraints, rather than repeating Part 1 verbatim.",
"relevance": "LABOR_MARKET_CONTEXT",
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"publication_curator": "Gergely Orosz",
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}P008Pragmatic Engineerpaid preview plus public excerpt
Gergely Orosz · 2024-11-26
Reports a voluntary social-media poll about AI-enabled editors and discusses tool preferences.
Evidence, context & provenance
Evidence boundaryVoluntary replies across Bluesky, X and Threads; early-adopter self-selection. Canonical newsletter body and chart report 155 responses (77+62+16); one blog sentence says 145. Use 155 only as the canonical author-reported count, not an independently verified sample. The public blog supplies the IDE portion, not the complete newsletter, which also contains industry-news material. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Reports a voluntary social-media poll about AI-enabled editors and discusses tool preferences. The canonical newsletter reports 155 responses; its public blog excerpt does not provide the whole newsletter.
Reported findings / argument. The poll describes early-adopter preferences, not industry market share or measured productivity. A conflicting 145-response sentence in the blog is retained as a source-edition discrepancy.
Source type, as recorded: Industry/practitioner publication — self selected social media survey
Editorial use. Editor preference and adoption belong to workflow evidence, not causal productivity estimates or benchmarked capability.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview and blog excerpt; complete newsletter not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 2: Measuring Productivity from Code to ProductionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Developer workflow and adoption · Dataset provenance and dependency
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "IDEs with GenAI features that Software Engineers love",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
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"year": "2024",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/ide-that-software-engineers-love",
"source_url": "https://newsletter.pragmaticengineer.com/p/ide-that-software-engineers-love",
"url": "https://newsletter.pragmaticengineer.com/p/ide-that-software-engineers-love",
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"contribution": "Reports a voluntary social-media poll about AI-enabled editors and discusses tool preferences.",
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"evidence_class": "Industry/practitioner publication — self selected social media survey",
"reviewed_evidence_class": "Industry/practitioner publication — self selected social media survey",
"access_status": "paid_preview_plus_public_excerpt",
"access_note": "Public preview and blog excerpt; complete newsletter not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Editor preference and adoption belong to workflow evidence, not causal productivity estimates or benchmarked capability.",
"relevance": "AI_FOR_SE",
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"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C02",
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"related_works": "W009",
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"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
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"publication_curator": "Gergely Orosz",
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"secondary_domains": "",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
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"review_reason": "Canonical 155 responses and public-excerpt limitation remain; the inconsistent 145 in the blog is not an independently validated total.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
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}P009Pragmatic Engineerpublic text
Gergely Orosz · 2024-11-29
Indexes the publication’s prior year of articles, organized around company practices and engineering topics.
Evidence, context & provenance
Evidence boundaryUpdated 5 December 2024. Not the same work as the separate December year-end Wrapped announcement. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. A discovery aid and editorial retrospective, not an additional independent source for the linked articles’ findings.
Source type, as recorded: Industry/practitioner publication — editorial index
Editorial use. An annual index aids source discovery but is not another engineering study or another copy of every linked article.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Dataset provenance and dependency
All preserved graph attributes
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"evidence_class": "Industry/practitioner publication — editorial index",
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}P010Pragmatic Engineerpublic text
Gergely Orosz · 2024-12-02
Advertises temporary discounts on the author’s books and newsletter.
Evidence, context & provenance
Evidence boundary Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Historical promotional record only; no engineering findings. Prices and availability must not be presented as current.
Source type, as recorded: Industry/practitioner publication — promotional announcement
Editorial use. A time-limited sales announcement is retained for corpus completeness without invented engineering findings.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
All preserved graph attributes
{
"label": "The Pragmatic Engineer: Cyber Monday Deals",
"kind": "catalogue_context_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Catalogue-only material",
"year": "2024",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/the-pragmatic-engineer-cyber-monday-deals/",
"source_url": "https://blog.pragmaticengineer.com/the-pragmatic-engineer-cyber-monday-deals/",
"url": "https://blog.pragmaticengineer.com/the-pragmatic-engineer-cyber-monday-deals/",
"publication_date": "2024-12-02",
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"source_platform": "blog",
"source_section": "Blog",
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"alternate_publications_json": "[]",
"contribution": "Advertises temporary discounts on the author’s books and newsletter.",
"in_short": "Advertises temporary discounts on the author’s books and newsletter.",
"summary": "Advertises temporary discounts on the author’s books and newsletter.",
"main_findings": "Historical promotional record only; no engineering findings. Prices and availability must not be presented as current.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "A time-limited sales announcement is retained for corpus completeness without invented engineering findings.",
"evidence_class": "Industry/practitioner publication — promotional announcement",
"reviewed_evidence_class": "Industry/practitioner publication — promotional announcement",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "A time-limited sales announcement is retained for corpus completeness without invented engineering findings.",
"relevance": "CATALOGUE_ONLY",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "promotional_announcement",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "",
"section_id": "",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
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"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "EDITORIAL_OR_PRACTITIONER_ARGUMENT",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Sales promotion remains in the blog inventory without artificial research or thematic links.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
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}P011Pragmatic Engineerpaid preview
Gergely Orosz; Elin Nilsson · 2024-12-03
Synthesizes contributions from 49 hiring managers and engineers about screening, unauthorized assistance, changing interview formats and integrating LLMs into assessment.
Evidence, context & provenance
Evidence boundary49 self-selected contributions collected through messages and forms; not a representative hiring-market sample. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible reports suggest hiring signals and verification costs are changing; projections about future interview formats remain expectations, not measured outcomes.
Source type, as recorded: Industry/practitioner publication — qualitative practitioner survey
Editorial use. AI-mediated recruiting and candidate assessment are labor-market context; 49 volunteered accounts do not measure developer productivity, retained learning or market prevalence.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Evaluation methodology and baselines
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "How GenAI is reshaping tech hiring",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Jobs & roles",
"year": "2024",
"authors": "Gergely Orosz; Elin Nilsson",
"source": "https://newsletter.pragmaticengineer.com/p/how-genai-changes-tech-hiring",
"source_url": "https://newsletter.pragmaticengineer.com/p/how-genai-changes-tech-hiring",
"url": "https://newsletter.pragmaticengineer.com/p/how-genai-changes-tech-hiring",
"publication_date": "2024-12-03",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2024-12-03",
"eligibility_date": "2024-12-03",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Synthesizes contributions from 49 hiring managers and engineers about screening, unauthorized assistance, changing interview formats and integrating LLMs into assessment.",
"in_short": "Synthesizes contributions from 49 hiring managers and engineers about screening, unauthorized assistance, changing interview formats and integrating LLMs into assessment.",
"summary": "Synthesizes contributions from 49 hiring managers and engineers about screening, unauthorized assistance, changing interview formats and integrating LLMs into assessment.",
"main_findings": "The visible reports suggest hiring signals and verification costs are changing; projections about future interview formats remain expectations, not measured outcomes.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "49 self-selected contributions collected through messages and forms; not a representative hiring-market sample. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "AI-mediated recruiting and candidate assessment are labor-market context; 49 volunteered accounts do not measure developer productivity, retained learning or market prevalence.",
"evidence_class": "Industry/practitioner publication — qualitative practitioner survey",
"reviewed_evidence_class": "Industry/practitioner publication — qualitative practitioner survey",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "AI-mediated recruiting and candidate assessment are labor-market context; 49 volunteered accounts do not measure developer productivity, retained learning or market prevalence.",
"relevance": "LABOR_MARKET_CONTEXT",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "qualitative_practitioner_survey",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C12",
"section_id": "12.5",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "O035",
"shared_source_groups": "DATA:P:GENAI_HIRING_2024",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "AI_HIRING_AND_ASSESSMENT",
"evidence_origin": "ORIGINAL_VOLUNTARY_OBSERVATIONAL_SURVEY",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Employer/interview reports concern recruiting and AI use in applications; no representative prevalence estimate.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz; Elin Nilsson",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P012Pragmatic Engineerpublic text
Gergely Orosz · 2024-12-10
Describes the author’s audiobook distribution experience and commercial concerns about platform terms and publication delays.
Evidence, context & provenance
Evidence boundaryUpdated 13 February 2025; preserve original date and changed availability. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. A publishing-platform case rather than software-engineering evidence. A later update says Audible released the audiobook, so the headline is no longer a current availability statement.
Source type, as recorded: Industry/practitioner publication — first person publishing case
Editorial use. This audiobook distribution case concerns publishing; it is not evidence about software development or current availability.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
All preserved graph attributes
{
"label": "Why my new audiobook “The Software Engineer's Guidebook” is everywhere except on Audible",
"kind": "catalogue_context_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Catalogue-only material",
"year": "2024",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/why-my-audibook-is-not-on-audible/",
"source_url": "https://blog.pragmaticengineer.com/why-my-audibook-is-not-on-audible/",
"url": "https://blog.pragmaticengineer.com/why-my-audibook-is-not-on-audible/",
"publication_date": "2024-12-10",
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"source_platform": "blog",
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"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Describes the author’s audiobook distribution experience and commercial concerns about platform terms and publication delays.",
"in_short": "Describes the author’s audiobook distribution experience and commercial concerns about platform terms and publication delays.",
"summary": "Describes the author’s audiobook distribution experience and commercial concerns about platform terms and publication delays.",
"main_findings": "A publishing-platform case rather than software-engineering evidence. A later update says Audible released the audiobook, so the headline is no longer a current availability statement.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Updated 13 February 2025; preserve original date and changed availability. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "This audiobook distribution case concerns publishing; it is not evidence about software development or current availability.",
"evidence_class": "Industry/practitioner publication — first person publishing case",
"reviewed_evidence_class": "Industry/practitioner publication — first person publishing case",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "This audiobook distribution case concerns publishing; it is not evidence about software development or current availability.",
"relevance": "CATALOGUE_ONLY",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "first_person_publishing_case",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "",
"section_id": "",
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"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Audible availability update is dated separately; historical title is not a current distribution claim.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P013Pragmatic Engineerpaid preview
Gergely Orosz · 2024-12-17
Interviews Shopify engineers about a time-bounded interactive visualization project, covering prototypes, architecture, performance, operations and qualitative product goals.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Illustrates delivery trade-offs and user experience beyond code output. AI-generated concept art is one input, not evidence that AI built or validated the system.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. A real product-visualization case links intention, architecture and delivery; AI concept art is only a limited component.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Specifications and governance · Architecture and modularity · Output versus shipped value
All preserved graph attributes
{
"label": "How Shopify Built Its Live Globe for Black Friday",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Engineering structure",
"year": "2024",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/shopify-black-friday",
"source_url": "https://newsletter.pragmaticengineer.com/p/shopify-black-friday",
"url": "https://newsletter.pragmaticengineer.com/p/shopify-black-friday",
"publication_date": "2024-12-17",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
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"alternate_publications_json": "[]",
"contribution": "Interviews Shopify engineers about a time-bounded interactive visualization project, covering prototypes, architecture, performance, operations and qualitative product goals.",
"in_short": "Interviews Shopify engineers about a time-bounded interactive visualization project, covering prototypes, architecture, performance, operations and qualitative product goals.",
"summary": "Interviews Shopify engineers about a time-bounded interactive visualization project, covering prototypes, architecture, performance, operations and qualitative product goals.",
"main_findings": "Illustrates delivery trade-offs and user experience beyond code output. AI-generated concept art is one input, not evidence that AI built or validated the system.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "A real product-visualization case links intention, architecture and delivery; AI concept art is only a limited component.",
"evidence_class": "Industry/practitioner publication — reported company case",
"reviewed_evidence_class": "Industry/practitioner publication — reported company case",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "A real product-visualization case links intention, architecture and delivery; AI concept art is only a limited component.",
"relevance": "GENERAL_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "reported_company_case",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C04;C05",
"section_id": "4.1;5.5",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Shopify visualization is a product-engineering case, not an experiment on AI-assisted productivity.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P014Pragmatic EngineerIn the published NDSE2 bibliographypublic text
Gergely Orosz; Addy Osmani · 2025-01-05
Republishes an edited version of Addy Osmani’s 70% problem essay and adds Orosz’s commentary about engineering responsibilities, expertise and software craft.
Evidence, context & provenance
Evidence boundaryDependent on the existing Osmani essay: must not count as independent corroboration. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Separates rapid prototyping from production completion and stresses comprehension and verification. The percentage is rhetorical, not a validated effect size.
Source type, as recorded: Industry/practitioner publication — adapted guest essay with editorial commentary
Editorial use. An edited Osmani essay plus Orosz commentary reinforces production-completion responsibilities but is dependent on O049.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Independent verification and oracles · Output versus shipped value · System understanding and rationale
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "How AI-assisted coding will change software engineering: hard truths",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Verification & review",
"year": "2025",
"authors": "Gergely Orosz; Addy Osmani",
"source": "https://newsletter.pragmaticengineer.com/p/how-ai-will-change-software-engineering",
"source_url": "https://newsletter.pragmaticengineer.com/p/how-ai-will-change-software-engineering",
"url": "https://newsletter.pragmaticengineer.com/p/how-ai-will-change-software-engineering",
"publication_date": "2025-01-05",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2025-01-05",
"eligibility_date": "2025-01-05",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Republishes an edited version of Addy Osmani’s 70% problem essay and adds Orosz’s commentary about engineering responsibilities, expertise and software craft.",
"in_short": "Republishes an edited version of Addy Osmani’s 70% problem essay and adds Orosz’s commentary about engineering responsibilities, expertise and software craft.",
"summary": "Republishes an edited version of Addy Osmani’s 70% problem essay and adds Orosz’s commentary about engineering responsibilities, expertise and software craft.",
"main_findings": "Separates rapid prototyping from production completion and stresses comprehension and verification. The percentage is rhetorical, not a validated effect size.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Dependent on the existing Osmani essay: must not count as independent corroboration. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "An edited Osmani essay plus Orosz commentary reinforces production-completion responsibilities but is dependent on O049.",
"evidence_class": "Industry/practitioner publication — adapted guest essay with editorial commentary",
"reviewed_evidence_class": "Industry/practitioner publication — adapted guest essay with editorial commentary",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "An edited Osmani essay plus Orosz commentary reinforces production-completion responsibilities but is dependent on O049.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "adapted_guest_essay_with_editorial_commentary",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C08;C02",
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"related_works": "O049;O042",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
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}P015Pragmatic Engineerpaid preview
Gergely Orosz; Elin Nilsson · 2025-01-07
Synthesizes practitioner approaches to allocating bug-fixing capacity, assigning ownership, preventing defects and sustaining a quality-focused culture.
Evidence, context & provenance
Evidence boundaryShares an interview pool with an earlier installment; not a controlled comparison of defect-management policies. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible examples favor explicit ownership and capacity decisions while showing that dedicated bug-fixing periods have mixed reported results.
Source type, as recorded: Industry/practitioner publication — multi practitioner interview synthesis
Editorial use. Bug ownership and maintenance capacity are lifecycle-quality concerns, not an evaluation of an AI tool.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Ownership and knowledge transfer · Technical debt and complexity
All preserved graph attributes
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}P016Pragmatic Engineerpublic text
Gergely Orosz · 2025-01-08
Lists distribution channels and the stated focus of the publication’s podcast.
Evidence, context & provenance
Evidence boundaryUpdated 12 January 2025. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Navigation and promotional context only; not an interview transcript or an engineering evidence source.
Source type, as recorded: Industry/practitioner publication — navigation announcement
Editorial use. A podcast directory is a navigation record, not the content of its linked interviews.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
All preserved graph attributes
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}P017Pragmatic Engineerpaid preview
Gergely Orosz; Elin Nilsson; Fatos Morina · 2025-01-14
Compares native, React Native, Flutter and web-based approaches, using ecosystem data and cases to explain platform-selection trade-offs.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The public analysis separates developer preference, application counts and revenue measures; framework popularity is not evidence of causal productivity gains.
Source type, as recorded: Industry/practitioner publication — technical landscape synthesis
Editorial use. Platform selection changes architectural constraints; popularity and revenue data do not identify a framework's causal value.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 5: Quality, Architecture and MaintainabilityEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Architecture and modularity · Developer workflow and adoption
All preserved graph attributes
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"source": "https://newsletter.pragmaticengineer.com/p/cross-platform-mobile-development",
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}P018Pragmatic Engineerpublic text
Gergely Orosz · 2025-01-21
Discusses declining Stack Overflow question volumes alongside the rise of LLM assistance and earlier moderation-related changes.
Evidence, context & provenance
Evidence boundaryThis non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-01-09. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Offers a hypothesis about shifting developer knowledge-seeking. Question volume is a limited proxy, and the timing alone does not prove replacement or equivalent answer quality.
Source type, as recorded: Industry/practitioner publication — secondary data commentary
Editorial use. The article concerns where developers obtain and preserve knowledge, not measured equivalence between generated and community answers.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. System understanding and rationale · Ownership and knowledge transfer
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P019Pragmatic Engineerpaid preview
Gergely Orosz · 2025-01-21
Traces Microsoft’s developer-tool history to frame its contemporary position in editors, repositories and AI assistance.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The historical narrative offers context for platform incentives and dependency, rather than a formal competition or AI-return-on-investment study.
Source type, as recorded: Industry/practitioner publication — historical industry commentary
Editorial use. Developer-platform history contextualizes dependency and distribution incentives; it is not a measured AI ROI model.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Economic costs and return · Dependencies and agent supply chain
All preserved graph attributes
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"year": "2025",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/microsofts-developer-tools-roots",
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}P020Pragmatic Engineerpublic text
Gergely Orosz · 2025-01-28
Compares engineering cultures, search infrastructure, product choices and evaluation practices at two companies challenging established search products.
Evidence, context & provenance
Evidence boundaryArticle accompanied subscriber offers; Orosz discloses no compensation or commercial affiliation. Descriptions are historical, not current product recommendations. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Provides contrasting accounts of building search and AI products. Company testimony and product growth do not establish coding-assistant effectiveness.
Source type, as recorded: Industry/practitioner publication — comparative company cases
Editorial use. Search-product engineering and evaluation are adjacent to, but different from, using AI to develop software.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Evaluation methodology and baselines
All preserved graph attributes
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}P021Pragmatic Engineerpaid preview
Gergely Orosz; Elin Nilsson · 2025-02-04
Interviews Expo’s team about developer tooling, React Native integration, build services and production deployment workflows.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The public cases illustrate how tooling and incremental adoption affect development experience; they are not AI-tool evaluations.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. Expo illustrates developer-platform integration and delivery friction without establishing AI-related effects.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Developer workflow and adoption
All preserved graph attributes
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}P022Pragmatic Engineerpublic text
Gergely Orosz · 2025-02-05
Announces a subscriber milestone and a time-limited giveaway of books and newsletter subscriptions.
Evidence, context & provenance
Evidence boundary Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Promotional catalogue record only; it supplies no engineering findings or effectiveness evidence.
Source type, as recorded: Industry/practitioner publication — promotional announcement
Editorial use. A giveaway announcement belongs in the source inventory, not in the engineering evidence synthesis.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
All preserved graph attributes
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}P023Pragmatic Engineerpublic text
Gergely Orosz · 2025-02-06
Reports destinations of departing TikTok engineers using Live Data Technologies’ professional-mobility data.
Evidence, context & provenance
Evidence boundaryThis non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-02-06. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Observed moves favor large established employers in the presented data. Proposed motives such as uncertainty or liquid compensation are interpretations, not directly measured reasons.
Source type, as recorded: Industry/practitioner publication — secondary labor market analysis
Editorial use. Observed employer transitions concern mobility; they do not reveal each worker's motives or an AI displacement mechanism.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Dataset provenance and dependency
All preserved graph attributes
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}P024Pragmatic Engineerpaid preview
Gergely Orosz · 2025-02-11
Discusses performance-management changes, layoffs and employer expectations at large technology companies, contrasting contemporary practices with earlier periods.
Evidence, context & provenance
Evidence boundaryMixture of reported company actions, other journalism and author interpretation. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Provides organizational and labor-market context; the public account does not isolate AI as the cause of changing employment practices.
Source type, as recorded: Industry/practitioner publication — industry organizational commentary
Editorial use. Workplace incentives and management practices shape engineering conditions; the commentary is not a causal intervention study.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Employment and early-career roles · Ownership and knowledge transfer
All preserved graph attributes
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"in_short": "Discusses performance-management changes, layoffs and employer expectations at large technology companies, contrasting contemporary practices with earlier periods.",
"summary": "Discusses performance-management changes, layoffs and employer expectations at large technology companies, contrasting contemporary practices with earlier periods.",
"main_findings": "Provides organizational and labor-market context; the public account does not isolate AI as the cause of changing employment practices.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Mixture of reported company actions, other journalism and author interpretation. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Workplace incentives and management practices shape engineering conditions; the commentary is not a causal intervention study.",
"evidence_class": "Industry/practitioner publication — industry organizational commentary",
"reviewed_evidence_class": "Industry/practitioner publication — industry organizational commentary",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Workplace incentives and management practices shape engineering conditions; the commentary is not a causal intervention study.",
"relevance": "GENERAL_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "industry_organizational_commentary",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C11;C12",
"section_id": "11.2;12.5",
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"related_works": "",
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"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "EDITORIAL_OR_PRACTITIONER_ARGUMENT",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Performance-management reporting concerns organizational incentives; evidence does not identify an isolated AI effect.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P025Pragmatic Engineerpaid preview
Gergely Orosz · 2025-02-18
Contrasts broad job-listing declines with two specialist recruiters’ accounts of demand for startup engineers and engineering leaders.
Evidence, context & provenance
Evidence boundaryPurposefully selected specialist agencies; their business volumes are not population hiring rates. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Different recruitment segments can move in opposite directions; boutique recruiter experience cannot overturn broad indicators without aligning populations and denominators.
Source type, as recorded: Industry/practitioner publication — recruiter interview synthesis
Editorial use. Recruiter perspectives are qualitative signals about market segments, not population estimates.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Dataset provenance and dependency
All preserved graph attributes
{
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"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Jobs & roles",
"year": "2025",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/startup-market-in-2025",
"source_url": "https://newsletter.pragmaticengineer.com/p/startup-market-in-2025",
"url": "https://newsletter.pragmaticengineer.com/p/startup-market-in-2025",
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"contribution": "Contrasts broad job-listing declines with two specialist recruiters’ accounts of demand for startup engineers and engineering leaders.",
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"summary": "Contrasts broad job-listing declines with two specialist recruiters’ accounts of demand for startup engineers and engineering leaders.",
"main_findings": "Different recruitment segments can move in opposite directions; boutique recruiter experience cannot overturn broad indicators without aligning populations and denominators.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Purposefully selected specialist agencies; their business volumes are not population hiring rates. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Recruiter perspectives are qualitative signals about market segments, not population estimates.",
"evidence_class": "Industry/practitioner publication — recruiter interview synthesis",
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"access_status": "paid_preview",
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"relevance": "LABOR_MARKET_CONTEXT",
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"publication_curator": "Gergely Orosz",
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"secondary_domains": "",
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"review_reason": "Two recruiting businesses report segment-specific hiring; do not generalize their client mix to the entire labor market.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
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}P026Pragmatic Engineerpublic text
Gergely Orosz · 2025-02-20
Examines Indeed/FRED vacancy indices across countries and discusses competing explanations for the decline, including the post-pandemic correction and AI expectations.
Evidence, context & provenance
Evidence boundaryUpdated 5 May 2025. Legal/tax timing assertions require separate verification before reuse. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-02-13. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Job-posting counts are not employment counts. Cross-country similarities weaken a single-policy explanation and do not identify AI as the cause.
Source type, as recorded: Industry/practitioner publication — secondary labor market analysis
Editorial use. Vacancy trends frame competing labor-market explanations; they cannot alone establish employment loss caused by AI.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Dataset provenance and dependency
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Software engineering job openings hit five-year low?",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Jobs & roles",
"year": "2025",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/software-engineer-jobs-five-year-low/",
"source_url": "https://blog.pragmaticengineer.com/software-engineer-jobs-five-year-low/",
"url": "https://blog.pragmaticengineer.com/software-engineer-jobs-five-year-low/",
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"alternate_publications_json": "[]",
"contribution": "Examines Indeed/FRED vacancy indices across countries and discusses competing explanations for the decline, including the post-pandemic correction and AI expectations.",
"in_short": "Examines Indeed/FRED vacancy indices across countries and discusses competing explanations for the decline, including the post-pandemic correction and AI expectations.",
"summary": "Examines Indeed/FRED vacancy indices across countries and discusses competing explanations for the decline, including the post-pandemic correction and AI expectations.",
"main_findings": "Job-posting counts are not employment counts. Cross-country similarities weaken a single-policy explanation and do not identify AI as the cause.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Updated 5 May 2025. Legal/tax timing assertions require separate verification before reuse. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-02-13. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Vacancy trends frame competing labor-market explanations; they cannot alone establish employment loss caused by AI.",
"evidence_class": "Industry/practitioner publication — secondary labor market analysis",
"reviewed_evidence_class": "Industry/practitioner publication — secondary labor market analysis",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "Vacancy trends frame competing labor-market explanations; they cannot alone establish employment loss caused by AI.",
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"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Indeed/FRED vacancy indices are not employment totals; article itself acknowledges incomplete coverage and causal ambiguity.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P027Pragmatic Engineerpaid preview
Gergely Orosz; Sandor Felber · 2025-02-25
Sandor Felber introduces robotics through project planning, controls, simulation, deployment, testing and day-to-day engineering work.
Evidence, context & provenance
Evidence boundaryAdjacent engineering domain; not direct evidence about AI coding tools. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The public outline highlights the gap between simulations and physical deployment and distinguishes academic work from industrial delivery.
Source type, as recorded: Industry/practitioner publication — guest technical tutorial
Editorial use. Robotics introduces hardware and physical-system constraints; transfer to coding-agent engineering is an analogy only.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Skills formation and teaching · Architecture and modularity
All preserved graph attributes
{
"label": "Robotics for software engineers: Part 1",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Skills & learning",
"year": "2025",
"authors": "Gergely Orosz; Sandor Felber",
"source": "https://newsletter.pragmaticengineer.com/p/robotics",
"source_url": "https://newsletter.pragmaticengineer.com/p/robotics",
"url": "https://newsletter.pragmaticengineer.com/p/robotics",
"publication_date": "2025-02-25",
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"contribution": "Sandor Felber introduces robotics through project planning, controls, simulation, deployment, testing and day-to-day engineering work.",
"in_short": "Sandor Felber introduces robotics through project planning, controls, simulation, deployment, testing and day-to-day engineering work.",
"summary": "Sandor Felber introduces robotics through project planning, controls, simulation, deployment, testing and day-to-day engineering work.",
"main_findings": "The public outline highlights the gap between simulations and physical deployment and distinguishes academic work from industrial delivery.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Adjacent engineering domain; not direct evidence about AI coding tools. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Robotics introduces hardware and physical-system constraints; transfer to coding-agent engineering is an analogy only.",
"evidence_class": "Industry/practitioner publication — guest technical tutorial",
"reviewed_evidence_class": "Industry/practitioner publication — guest technical tutorial",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Robotics introduces hardware and physical-system constraints; transfer to coding-agent engineering is an analogy only.",
"relevance": "ADJACENT_ENGINEERING",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "guest_technical_tutorial",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C10;C05",
"section_id": "10.5;5.5",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "EDITORIAL_OR_PRACTITIONER_ARGUMENT",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Robotics domain is adjacent engineering; retain Sandor Felber credit and avoid coding-agent efficacy claims.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz; Sandor Felber",
"ndse2_actual_chapters_json": "[]",
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}P028Pragmatic Engineerpublic text
Gergely Orosz · 2025-03-04
Analyzes Levels.fyi compensation submissions by geography, experience and employer tier, distinguishing salary from total compensation and equity value.
Evidence, context & provenance
Evidence boundarySelf-reported and verified platform data, not a representative labor-force sample; no mixture-model replication performed. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Illustrates labor-market heterogeneity. Employer tiers are an analytical grouping and should not be confused with statistically validated three-mode distributions or an AI effect.
Source type, as recorded: Industry/practitioner publication — observational compensation data analysis
Editorial use. Compensation tiers describe segment structure; the article does not statistically establish three distributional modes.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Economic costs and return · Employment and early-career roles · Dataset provenance and dependency
All preserved graph attributes
{
"label": "Trimodal Nature of Tech Compensation in the US, UK and India",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Economics",
"year": "2025",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/trimodal",
"source_url": "https://newsletter.pragmaticengineer.com/p/trimodal",
"url": "https://newsletter.pragmaticengineer.com/p/trimodal",
"publication_date": "2025-03-04",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2025-03-04",
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"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Analyzes Levels.fyi compensation submissions by geography, experience and employer tier, distinguishing salary from total compensation and equity value.",
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"summary": "Analyzes Levels.fyi compensation submissions by geography, experience and employer tier, distinguishing salary from total compensation and equity value.",
"main_findings": "Illustrates labor-market heterogeneity. Employer tiers are an analytical grouping and should not be confused with statistically validated three-mode distributions or an AI effect.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Self-reported and verified platform data, not a representative labor-force sample; no mixture-model replication performed. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Compensation tiers describe segment structure; the article does not statistically establish three distributional modes.",
"evidence_class": "Industry/practitioner publication — observational compensation data analysis",
"reviewed_evidence_class": "Industry/practitioner publication — observational compensation data analysis",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "Compensation tiers describe segment structure; the article does not statistically establish three distributional modes.",
"relevance": "LABOR_MARKET_CONTEXT",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "observational_compensation_data_analysis",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C12",
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"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SECONDARY_OR_PROVIDER_DATA_ANALYSIS",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Compensation tiers are a practitioner labor-market framework, not a universal causal salary model.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P029Pragmatic Engineerpaid preview
Gergely Orosz · 2025-03-11
Reports a security startup’s account of suspected impersonation during remote hiring and the changes it made to candidate verification.
Evidence, context & provenance
Evidence boundarySingle-company account; suspicion, observed behavior and alleged attacker attribution must remain distinct. Recording or identity-check proposals require separate privacy and legal assessment. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible incidents motivate stronger identity and competency checks; attribution to a coordinated foreign operation remains a hypothesis rather than a demonstrated conclusion.
Source type, as recorded: Industry/practitioner publication — reported security case
Editorial use. A reported hiring-fraud incident concerns candidate identity and assessment integrity, not production coding-agent performance. Attacker attribution remains uncertain.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Evaluation methodology and baselines
All preserved graph attributes
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"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/ai-fakers",
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"main_findings": "The visible incidents motivate stronger identity and competency checks; attribution to a coordinated foreign operation remains a hypothesis rather than a demonstrated conclusion.",
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"limitation": "Single-company account; suspicion, observed behavior and alleged attacker attribution must remain distinct. Recording or identity-check proposals require separate privacy and legal assessment. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "A reported hiring-fraud incident concerns candidate identity and assessment integrity, not production coding-agent performance. Attacker attribution remains uncertain.",
"evidence_class": "Industry/practitioner publication — reported security case",
"reviewed_evidence_class": "Industry/practitioner publication — reported security case",
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"empirical_replication_status": "NOT_PERFORMED",
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"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "AI_HIRING_AND_ASSESSMENT",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
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"review_date": "2026-10-11",
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"byline_and_contributors": "Gergely Orosz",
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}P030Pragmatic Engineerpublic text
Gergely Orosz; Elin Nilsson · 2025-03-18
Invites readers to report their languages, frameworks, platforms and tools and outlines plans for publishing results.
Evidence, context & provenance
Evidence boundaryNo survey findings are reported in this invitation. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. This is a recruitment and methods record, not a results article; it establishes a connection to the subsequent tooling-survey series.
Source type, as recorded: Industry/practitioner publication — survey recruitment
Editorial use. A survey invitation establishes recruitment provenance, not findings; it links to the later three-part results series.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Dataset provenance and dependency · Evaluation methodology and baselines
All preserved graph attributes
{
"label": "Survey: What’s in your tech stack?",
"kind": "source_methodology_article",
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"group": "Methods and provenance",
"year": "2025",
"authors": "Gergely Orosz; Elin Nilsson",
"source": "https://newsletter.pragmaticengineer.com/p/what-is-in-your-tech-stack",
"source_url": "https://newsletter.pragmaticengineer.com/p/what-is-in-your-tech-stack",
"url": "https://newsletter.pragmaticengineer.com/p/what-is-in-your-tech-stack",
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"contribution": "Invites readers to report their languages, frameworks, platforms and tools and outlines plans for publishing results.",
"in_short": "Invites readers to report their languages, frameworks, platforms and tools and outlines plans for publishing results.",
"summary": "Invites readers to report their languages, frameworks, platforms and tools and outlines plans for publishing results.",
"main_findings": "This is a recruitment and methods record, not a results article; it establishes a connection to the subsequent tooling-survey series.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "No survey findings are reported in this invitation. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "A survey invitation establishes recruitment provenance, not findings; it links to the later three-part results series.",
"evidence_class": "Industry/practitioner publication — survey recruitment",
"reviewed_evidence_class": "Industry/practitioner publication — survey recruitment",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "A survey invitation establishes recruitment provenance, not findings; it links to the later three-part results series.",
"relevance": "METHODS_AND_PROVENANCE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "survey_recruitment",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "",
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"related_works": "",
"shared_source_groups": "DATA:P:TECHSTACK_2025",
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"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
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"empirical_replication_status": "NOT_PERFORMED",
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"publication_curator": "Gergely Orosz",
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"secondary_domains": "",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Survey invitation is recruitment/provenance, not results; plans to publish in May are not actual result dates.",
"review_date": "2026-10-11",
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"byline_and_contributors": "Gergely Orosz; Elin Nilsson",
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}P031Pragmatic Engineerpaid preview
Gergely Orosz; Alexey Komissarouk · 2025-03-20
Alexey Komissarouk describes experimentation-driven engineering that prioritizes learning about business outcomes, supported by product analytics, feature flags and organizational ownership.
Evidence, context & provenance
Evidence boundaryRevenue and experimental effects are contributor-reported and not independently replicated here. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Offers a useful contrast between shipping to learn and building for longevity. Reported business experiments are not evaluations of AI-assisted development.
Source type, as recorded: Industry/practitioner publication — guest practitioner guidance
Editorial use. Growth engineering connects product hypotheses to measured outcomes rather than treating feature output as value.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Specifications and governance · Output versus shipped value · Evaluation methodology and baselines
All preserved graph attributes
{
"label": "What is Growth Engineering?",
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"group": "Engineering structure",
"year": "2025",
"authors": "Gergely Orosz; Alexey Komissarouk",
"source": "https://newsletter.pragmaticengineer.com/p/what-is-growth-engineering",
"source_url": "https://newsletter.pragmaticengineer.com/p/what-is-growth-engineering",
"url": "https://newsletter.pragmaticengineer.com/p/what-is-growth-engineering",
"publication_date": "2025-03-20",
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"original_publication_date": "2025-03-20",
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"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
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"alternate_publications_json": "[]",
"contribution": "Alexey Komissarouk describes experimentation-driven engineering that prioritizes learning about business outcomes, supported by product analytics, feature flags and organizational ownership.",
"in_short": "Alexey Komissarouk describes experimentation-driven engineering that prioritizes learning about business outcomes, supported by product analytics, feature flags and organizational ownership.",
"summary": "Alexey Komissarouk describes experimentation-driven engineering that prioritizes learning about business outcomes, supported by product analytics, feature flags and organizational ownership.",
"main_findings": "Offers a useful contrast between shipping to learn and building for longevity. Reported business experiments are not evaluations of AI-assisted development.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Revenue and experimental effects are contributor-reported and not independently replicated here. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Growth engineering connects product hypotheses to measured outcomes rather than treating feature output as value.",
"evidence_class": "Industry/practitioner publication — guest practitioner guidance",
"reviewed_evidence_class": "Industry/practitioner publication — guest practitioner guidance",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Growth engineering connects product hypotheses to measured outcomes rather than treating feature output as value.",
"relevance": "GENERAL_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "guest_practitioner_guidance",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C04;C02",
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"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
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"secondary_domains": "",
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"review_outcome": "RETAINED",
"review_reason": "Growth engineering concerns experiments and product outcomes; guest guidance is not an AI development trial.",
"review_date": "2026-10-11",
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"byline_and_contributors": "Gergely Orosz; Alexey Komissarouk",
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}P032Pragmatic Engineerpaid preview
Gergely Orosz · 2025-03-25
Seven company accounts describe engineers building LLM products, including evaluation, nondeterminism, privacy, latency, bespoke tooling and usage-driven costs.
Evidence, context & provenance
Evidence boundaryOrosz discloses investments in incident.io and Wordsmith, both included in the article. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The accessible cases distinguish easy prototypes from production obligations; they concern building AI products and cannot directly quantify coding-assistant productivity.
Source type, as recorded: Industry/practitioner publication — reported multi company cases
Editorial use. The cases concern building AI-enabled products; their operational lessons are not evidence of coding-agent productivity.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Evaluation methodology and baselines
All preserved graph attributes
{
"label": "AI Engineering in the real world",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Engineering structure",
"year": "2025",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/ai-engineering-in-the-real-world",
"source_url": "https://newsletter.pragmaticengineer.com/p/ai-engineering-in-the-real-world",
"url": "https://newsletter.pragmaticengineer.com/p/ai-engineering-in-the-real-world",
"publication_date": "2025-03-25",
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"source_platform": "newsletter",
"source_section": "Deepdives",
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"alternate_publications_json": "[]",
"contribution": "Seven company accounts describe engineers building LLM products, including evaluation, nondeterminism, privacy, latency, bespoke tooling and usage-driven costs.",
"in_short": "Seven company accounts describe engineers building LLM products, including evaluation, nondeterminism, privacy, latency, bespoke tooling and usage-driven costs.",
"summary": "Seven company accounts describe engineers building LLM products, including evaluation, nondeterminism, privacy, latency, bespoke tooling and usage-driven costs.",
"main_findings": "The accessible cases distinguish easy prototypes from production obligations; they concern building AI products and cannot directly quantify coding-assistant productivity.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Orosz discloses investments in incident.io and Wordsmith, both included in the article. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The cases concern building AI-enabled products; their operational lessons are not evidence of coding-agent productivity.",
"evidence_class": "Industry/practitioner publication — reported multi company cases",
"reviewed_evidence_class": "Industry/practitioner publication — reported multi company cases",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "The cases concern building AI-enabled products; their operational lessons are not evidence of coding-agent productivity.",
"relevance": "SE_FOR_AI",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
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"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
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"secondary_domains": "",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Seven AI-product cases address evaluation, privacy and latency; principal domain remains engineering AI systems.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
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}P033Pragmatic Engineerpaid preview
Gergely Orosz; Evan King; Stefan Mai · 2025-04-01
Interview-preparation founders discuss selective hiring recovery, changing interview difficulty, domain specialization and differences between startup and large-company hiring.
Evidence, context & provenance
Evidence boundaryContributors cofound Hello Interview; claims about a one-standard-deviation increase in hiring standards are not supported by a validated common scale in the preview. Interview-platform traffic and an asserted higher hiring bar have distinct, incompletely specified denominators; neither is a population employment statistic. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible account highlights variation by experience and specialty. Platform activity is only a proxy for demand and cannot establish population-wide hiring rates.
Source type, as recorded: Industry/practitioner publication — guest industry analysis
Editorial use. Interview preparation and assessment methods concern competence signals; commercial interests and selection limit generalization.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Evaluation methodology and baselines
All preserved graph attributes
{
"label": "The Reality of Tech Interviews in 2025",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
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"year": "2025",
"authors": "Gergely Orosz; Evan King; Stefan Mai",
"source": "https://newsletter.pragmaticengineer.com/p/the-reality-of-tech-interviews",
"source_url": "https://newsletter.pragmaticengineer.com/p/the-reality-of-tech-interviews",
"url": "https://newsletter.pragmaticengineer.com/p/the-reality-of-tech-interviews",
"publication_date": "2025-04-01",
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"contribution": "Interview-preparation founders discuss selective hiring recovery, changing interview difficulty, domain specialization and differences between startup and large-company hiring.",
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"summary": "Interview-preparation founders discuss selective hiring recovery, changing interview difficulty, domain specialization and differences between startup and large-company hiring.",
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"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Contributors cofound Hello Interview; claims about a one-standard-deviation increase in hiring standards are not supported by a validated common scale in the preview. Interview-platform traffic and an asserted higher hiring bar have distinct, incompletely specified denominators; neither is a population employment statistic. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Interview preparation and assessment methods concern competence signals; commercial interests and selection limit generalization.",
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"review_date": "2026-10-11",
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}P034Pragmatic Engineerpaid preview
Gergely Orosz · 2025-04-08
Explains MCP using a database-tool example and an interview with a protocol co-creator.
Evidence, context & provenance
Evidence boundaryProtocol and implementation descriptions are dated April 2025, not a security assessment of every later MCP implementation. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Explains MCP using a database-tool example and an interview with a protocol co-creator. Connects client-server architecture and IDE extensibility to credential-access risks.
Reported findings / argument. The public demonstration illustrates improved access to context and tools while warning that capability expansion does not provide a security boundary.
Source type, as recorded: Industry/practitioner publication — technical explainer and creator interview
Editorial use. The database/tool example explains how coding assistants acquire context and capabilities through MCP. Security and authorization remain separate design duties; this is not an empirical security evaluation.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Agent context and persistent memory · Dependencies and agent supply chain
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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"main_findings": "The public demonstration illustrates improved access to context and tools while warning that capability expansion does not provide a security boundary.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Protocol and implementation descriptions are dated April 2025, not a security assessment of every later MCP implementation. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The database/tool example explains how coding assistants acquire context and capabilities through MCP. Security and authorization remain separate design duties; this is not an empirical security evaluation.",
"evidence_class": "Industry/practitioner publication — technical explainer and creator interview",
"reviewed_evidence_class": "Industry/practitioner publication — technical explainer and creator interview",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
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"classification_rationale": "The database/tool example explains how coding assistants acquire context and capabilities through MCP. Security and authorization remain separate design duties; this is not an empirical security evaluation.",
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"controlled_experiment_status": "not_asserted",
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"review_reason": "Developer-tool integration focus supports AI-assisted development; the protocol does not itself confer authorization or safety.",
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}P035Pragmatic Engineerpaid preview plus public excerpt
Gergely Orosz · 2025-04-15
Discusses employer experiences with automated applications and AI-assisted interview deception, alongside possible changes to remote hiring, trial periods and work samples.
Evidence, context & provenance
Evidence boundaryOrosz discloses an investment in Maestro, one of the companies discussed. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible cases suggest that hiring signals require reassessment; they do not demonstrate that remote interviews universally fail or in-person hiring is inevitable.
Source type, as recorded: Industry/practitioner publication — reported multi company cases
Editorial use. Employer experiences with AI-assisted applications and interviews inform hiring policy; the blog is only a partial alternate edition and no software-delivery effect is estimated.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview and blog excerpt; complete newsletter not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Evaluation methodology and baselines
All preserved graph attributes
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"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Orosz discloses an investment in Maestro, one of the companies discussed. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Employer experiences with AI-assisted applications and interviews inform hiring policy; the blog is only a partial alternate edition and no software-delivery effect is estimated.",
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"access_note": "Public preview and blog excerpt; complete newsletter not reviewed",
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"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "AI_HIRING_AND_ASSESSMENT",
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}P036Pragmatic Engineerpublic text
Gergely Orosz · 2025-04-22
A publication retrospective includes a 2024 reader survey describing respondents’ roles, employers, location and education, alongside the newsletter’s growth.
Evidence, context & provenance
Evidence boundary2,395 voluntary responses reported for a 2024 reader survey; not a census or random sample of software engineers. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The self-selected readership profile helps assess transferability of later reader surveys; subscriber growth itself is not software-engineering evidence.
Source type, as recorded: Industry/practitioner publication — publication retrospective and reader survey
Editorial use. A readership survey helps characterize the publication's audience and selection, not the entire engineering workforce.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Dataset provenance and dependency
All preserved graph attributes
{
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"kind": "source_methodology_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Methods and provenance",
"year": "2025",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/one-million",
"source_url": "https://newsletter.pragmaticengineer.com/p/one-million",
"url": "https://newsletter.pragmaticengineer.com/p/one-million",
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"in_short": "A publication retrospective includes a 2024 reader survey describing respondents’ roles, employers, location and education, alongside the newsletter’s growth.",
"summary": "A publication retrospective includes a 2024 reader survey describing respondents’ roles, employers, location and education, alongside the newsletter’s growth.",
"main_findings": "The self-selected readership profile helps assess transferability of later reader surveys; subscriber growth itself is not software-engineering evidence.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "2,395 voluntary responses reported for a 2024 reader survey; not a census or random sample of software engineers. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "A readership survey helps characterize the publication's audience and selection, not the entire engineering workforce.",
"evidence_class": "Industry/practitioner publication — publication retrospective and reader survey",
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"access_status": "public_text",
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"relevance": "METHODS_AND_PROVENANCE",
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"secondary_domains": "",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
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"review_reason": "Subscriber milestone gives publication provenance, not evidence of engineering outcomes or representative survey sampling.",
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}P037Pragmatic Engineerpaid preview
Gergely Orosz; Sandor Felber · 2025-04-29
Sandor Felber explains humanoid-robot hardware constraints, state estimation, real-time control and optimization, with an outline of learning-based methods.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Provides domain background for software engineers entering robotics; its AI concerns concern robotic control, not autonomous software development.
Source type, as recorded: Industry/practitioner publication — guest technical tutorial
Editorial use. Humanoid-robot development provides adjacent systems context, not evidence that software-agent autonomy transfers to physical systems.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Skills formation and teaching · Architecture and modularity
All preserved graph attributes
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"year": "2025",
"authors": "Gergely Orosz; Sandor Felber",
"source": "https://newsletter.pragmaticengineer.com/p/humanoid-robots",
"source_url": "https://newsletter.pragmaticengineer.com/p/humanoid-robots",
"url": "https://newsletter.pragmaticengineer.com/p/humanoid-robots",
"publication_date": "2025-04-29",
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"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
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"manual_use": "Humanoid-robot development provides adjacent systems context, not evidence that software-agent autonomy transfers to physical systems.",
"evidence_class": "Industry/practitioner publication — guest technical tutorial",
"reviewed_evidence_class": "Industry/practitioner publication — guest technical tutorial",
"access_status": "paid_preview",
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"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Humanoid-robot development provides adjacent systems context, not evidence that software-agent autonomy transfers to physical systems.",
"relevance": "ADJACENT_ENGINEERING",
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"method_status": "Editorial classification, not independent-rater or empirical validation",
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"review_outcome": "RETAINED",
"review_reason": "Humanoid hardware/control challenges belong to adjacent robotics, not direct coding-agent research.",
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}P038Pragmatic Engineerpaid preview
Gergely Orosz · 2025-05-06
Revisits Brooks’s account of tooling, debugging, project schedules and documentation against contemporary engineering practice.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Revisits Brooks’s account of tooling, debugging, project schedules and documentation against contemporary engineering practice. Distinguishes improvements in tools from persistent coordination and specification problems.
Reported findings / argument. The accessible outline supports continuity in engineering responsibilities despite technological change; historical comparisons do not establish an AI-specific effect.
Source type, as recorded: Industry/practitioner publication — historical conceptual commentary
Editorial use. Historical comparison frames durable engineering judgment; it is not a controlled estimate of modern AI effects.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Output versus shipped value · Specifications and governance
All preserved graph attributes
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"year": "2025",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/mythical-man-month-part-4",
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}P039Pragmatic Engineerpaid preview
Gergely Orosz · 2025-05-13
Interviews OpenAI engineering leaders about an image-generation launch, asynchronous execution, isolation, load testing and bottlenecks beyond GPU capacity.
Evidence, context & provenance
Evidence boundaryCompany-reported launch experience; primarily engineering an AI product. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible account emphasizes operational preparation and adaptation under unexpected demand. Growth numbers describe the product launch, not coding-assistant effectiveness.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. Launching an image-generation service concerns AI-product infrastructure, evaluation and deployment rather than AI-for-coding performance.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Evaluation methodology and baselines
All preserved graph attributes
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}P040Pragmatic Engineerpublic text
Gergely Orosz · 2025-05-15
Updates an earlier analysis of falling Stack Overflow question counts, considering moderation history, alternative communities and LLM-based assistance.
Evidence, context & provenance
Evidence boundaryUpdated 19 May 2025. The causal contribution of LLMs is not identified by the time series. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-05-15. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The observations concern new questions, not all site usage or knowledge value. The headline and shutdown forecast go beyond what the descriptive series demonstrates.
Source type, as recorded: Industry/practitioner publication — secondary data commentary
Editorial use. The follow-up concerns knowledge-community activity; fewer questions do not prove disappearance of all usage or knowledge value.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. System understanding and rationale · Ownership and knowledge transfer
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P041Pragmatic Engineerpublic text
Gergely Orosz; Chip Huyen · 2025-05-20
Chip Huyen’s book excerpt distinguishes application, model and infrastructure layers and compares AI engineering with machine-learning and full-stack engineering.
Evidence, context & provenance
Evidence boundaryExcerpt credited to Chip Huyen; primarily software engineering for AI, not AI-assisted software engineering. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Chip Huyen’s book excerpt distinguishes application, model and infrastructure layers and compares AI engineering with machine-learning and full-stack engineering. Evaluation and interfaces are central application concerns.
Reported findings / argument. Provides an architectural vocabulary for building AI products; it should not be treated as evidence that using AI improves software-development productivity.
Source type, as recorded: Industry/practitioner publication — guest book excerpt
Editorial use. An introduced technical book excerpt explains the AI-product stack; distinguish application engineering from coding assistance.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Evaluation methodology and baselines
All preserved graph attributes
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}P042Pragmatic Engineerpaid preview
Gergely Orosz · 2025-05-27
Reports observations at Microsoft BUILD, including supervised coding agents, public failures on the .NET codebase and platform incentives behind optimistic AI messaging.
Evidence, context & provenance
Evidence boundaryAuthor reports self-funded travel; situated interviews and demonstrations are not a representative evaluation. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The public outline contrasts bounded demonstrations with brownfield difficulties and keeps developers responsible for agent output.
Source type, as recorded: Industry/practitioner publication — conference field report
Editorial use. Internal use and conference examples illustrate adoption mechanisms, not independently measured organization-wide gains.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Developer workflow and adoption · Human-agent collaboration
All preserved graph attributes
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"year": "2025",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/microsoft-ai-dev-tools",
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}P043Pragmatic Engineerpaid preview
Gergely Orosz; Elin Nilsson · 2025-06-03
Examines competing definitions of vibe coding, contrasts prototypes with production systems, and discusses cases where developers resume direct control to finish an application.
Evidence, context & provenance
Evidence boundaryDefinitions differ among quoted practitioners; no measured production benefit is established. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The accessible text makes review, security, performance and engineering judgment the boundary between a useful prototype and accountable delivery.
Source type, as recorded: Industry/practitioner publication — practitioner conceptual analysis
Editorial use. Exploratory generation and accountable engineering differ in verification and retained understanding.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Independent verification and oracles · System understanding and rationale
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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"source": "https://newsletter.pragmaticengineer.com/p/vibe-coding-as-a-software-engineer",
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"manual_use": "Exploratory generation and accountable engineering differ in verification and retained understanding.",
"evidence_class": "Industry/practitioner publication — practitioner conceptual analysis",
"reviewed_evidence_class": "Industry/practitioner publication — practitioner conceptual analysis",
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}P044Pragmatic Engineerpaid preview
Gergely Orosz · 2025-06-10
Reports engineering choices behind Cursor, including code-context synchronization, execution isolation, orchestration infrastructure and latency-sensitive development workflows.
Evidence, context & provenance
Evidence boundaryCompany interview; detailed implementation claims beyond the preview remain unverified. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible outline illustrates the substantial infrastructure behind coding assistance; it does not demonstrate that adoption or vendor growth equals developer productivity.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. A tool-builder architecture case: repository synchronization, context and execution infrastructure. It has a secondary AI-assisted-development connection but is not a developer-productivity trial.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Agent context and persistent memory
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
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"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/cursor",
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"manual_use": "A tool-builder architecture case: repository synchronization, context and execution infrastructure. It has a secondary AI-assisted-development connection but is not a developer-productivity trial.",
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}P045Pragmatic Engineerpublic text
Gergely Orosz · 2025-06-12
Investigates claims that Builder.ai was merely a human-operated substitute for AI.
Evidence, context & provenance
Evidence boundaryClaims about internal operations are attributed to former staff; corporate-failure explanations remain interpretations. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-06-12. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Investigates claims that Builder.ai was merely a human-operated substitute for AI. Former-employee accounts describe a code-generation product alongside human fulfilment; a hypothetical human-operated design is an explanatory contrast, not a verified internal architecture.
Reported findings / argument. The account challenges a simplified corporate narrative. It does not independently verify the product’s reliability, staffing, financial history or productivity.
Source type, as recorded: Industry/practitioner publication — reported investigation
Editorial use. Industry fact-checking distinguishes reported AI code generation from human fulfilment. Neither a hypothetical architecture nor employee accounts validate a capability benchmark.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 11: Teams, Governance and the Engineering OrganizationEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Human-agent collaboration · Dataset provenance and dependency
All preserved graph attributes
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"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
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"secondary_domains": "AI_FOR_SE",
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"review_reason": "Corrective reporting challenges a specific fake-AI narrative; it does not independently settle every allegation about the company.",
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}P046Pragmatic Engineerpaid preview
Gergely Orosz; Chaitali Narla · 2025-06-17
Chaitali Narla discusses identifying valuable problems, taking ownership, building relationships and finding sponsorship for change within an organization.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible guidance connects engineering impact with initiative and organizational support. It is general career guidance, not evidence of AI effectiveness.
Source type, as recorded: Industry/practitioner publication — guest practitioner guidance
Editorial use. Internal entrepreneurship concerns ownership and organizational adoption rather than AI capability.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Ownership and knowledge transfer · Specifications and governance
All preserved graph attributes
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"authors": "Gergely Orosz; Chaitali Narla",
"source": "https://newsletter.pragmaticengineer.com/p/being-an-intrapreneur-as-a-software",
"source_url": "https://newsletter.pragmaticengineer.com/p/being-an-intrapreneur-as-a-software",
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}P047Pragmatic Engineerpaid preview
Gergely Orosz; Birgitta Böckeler · 2025-06-24
Birgitta Böckeler reflects on changes from autocomplete to agentic assistance over two years, including cognitive bias, reviewer fatigue, quality supervision and team effectiveness.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The public outline emphasizes adapting engineering practices alongside tools; two years of experience does not establish a longitudinal controlled study.
Source type, as recorded: Industry/practitioner publication — guest practitioner synthesis
Editorial use. Longitudinal practitioner experience informs adaptation and comprehension, but does not substitute for controlled measurement.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Developer workflow and adoption · System understanding and rationale · Skills formation and teaching
14 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Learnings from two years of using AI tools for software engineering",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
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"year": "2025",
"authors": "Gergely Orosz; Birgitta Böckeler",
"source": "https://newsletter.pragmaticengineer.com/p/two-years-of-using-ai",
"source_url": "https://newsletter.pragmaticengineer.com/p/two-years-of-using-ai",
"url": "https://newsletter.pragmaticengineer.com/p/two-years-of-using-ai",
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}P048Pragmatic Engineerpublic text
Gergely Orosz · 2025-07-01
Contrasts executive expectations with developers’ experiences of LLM-assisted work, drawing on interviews and a conference presentation.
Evidence, context & provenance
Evidence boundaryInterview selection and conference synthesis are not a controlled estimate of productivity. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Contrasts executive expectations with developers’ experiences of LLM-assisted work, drawing on interviews and a conference presentation. Examines adoption, review obligations and the gap between demonstrations and dependable delivery.
Reported findings / argument. The accessible report presents uneven benefits and continuing engineering oversight, rather than a universal productivity multiplier.
Source type, as recorded: Industry/practitioner publication — interview based synthesis
Editorial use. The synthesis separates demonstrated tool potential from organization-level delivery outcomes.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Output versus shipped value · Developer workflow and adoption
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P049Pragmatic Engineerpaid preview
Gergely Orosz; Sandor Felber · 2025-07-08
Sandor Felber outlines software, AI and robotics skills for work involving real-time control and physical constraints.
Evidence, context & provenance
Evidence boundaryGuest discloses his robotics startup and hiring interests. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The guidance illustrates multidisciplinary learning and performance requirements. Physical robotics autonomy is not the same construct as coding-agent autonomy.
Source type, as recorded: Industry/practitioner publication — guest practitioner guidance
Editorial use. Robotics skill development provides adjacent engineering education, not a tested coding-agent training intervention.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Skills formation and teaching · Architecture and modularity
All preserved graph attributes
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}P050Pragmatic Engineerpublic text
Gergely Orosz; Elin Nilsson · 2025-07-15
The survey reports tool usage and sentiment across languages, coding assistants, IDEs, delivery infrastructure and cloud platforms.
Evidence, context & provenance
Evidence boundarySame dataset as Parts 2 and 3; do not interpret mentions as causal productivity effects. The reported gross 3,000-plus submissions and cleaned 2,997 retained responses refer to stages of the same reader survey, not separate datasets. No microdata recount was performed. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. This is a self-selected readership sample with 2,997 retained responses, not a random industry census. Cross-year differences can reflect changing respondents.
Source type, as recorded: Industry/practitioner publication — reader survey analysis
Editorial use. A broad, self-selected technology-stack survey with an AI-tooling subsection. Retain AI as a secondary facet; the same respondents underlie Parts 2 and 3.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Developer workflow and adoption · Dataset provenance and dependency
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P051Pragmatic Engineerpaid preview
Gergely Orosz · 2025-07-22
An editorial comparison of infrastructure outages considers update controls, global configuration, database behavior and incident transparency.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Failure containment and learning from prior incidents matter as systems scale. Some causal details are Orosz’s reconstruction rather than provider-confirmed facts.
Source type, as recorded: Industry/practitioner publication — postmortem synthesis
Editorial use. Infrastructure incidents illustrate reliability and escalation; applying them to agents is a marked engineering analogy.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Specifications and governance
All preserved graph attributes
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"year": "2025",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/why-reliability-is-hard-at-scale",
"source_url": "https://newsletter.pragmaticengineer.com/p/why-reliability-is-hard-at-scale",
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}P052Pragmatic EngineerIn the published NDSE2 bibliographypublic text
Gergely Orosz · 2025-07-24
Discusses METR’s experienced-maintainer experiment and possible workflow explanations.
Evidence, context & provenance
Evidence boundaryP052 says 136 issues and implies assignment by developer. METR’s primary methodology reports 246 issues and issue-level randomization, with developers working in both conditions. Do not reproduce the secondary account’s conflicting design description. A primary abstract/methodology check was performed, not a full-paper audit or statistical replication. This is a retitled Pulse excerpt; preserve its existing series provenance. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Discusses METR’s experienced-maintainer experiment and possible workflow explanations. A targeted primary-source check confirms 16 developers and 246 issues randomized by issue to AI allowed or disallowed, not separate developer treatment groups.
Reported findings / argument. The primary study reports slower completion in this specific early-2025 setting. P052’s broader all-tools inference and proposed familiarity explanation remain interpretations; neither is independent causal validation.
Source type, as recorded: Industry/practitioner publication — secondary research commentary
Editorial use. This is secondary commentary on W023, not a replication; the all-tools extrapolation and causal learning-curve explanation are unsupported.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 2: Measuring Productivity from Code to ProductionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Controlled productivity evidence · Evaluation methodology and baselines
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Cursor makes developers less effective?",
"kind": "practitioner_article",
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"group": "Productivity",
"year": "2025",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/cursor-makes-developers-less-effective/",
"source_url": "https://blog.pragmaticengineer.com/cursor-makes-developers-less-effective/",
"url": "https://blog.pragmaticengineer.com/cursor-makes-developers-less-effective/",
"publication_date": "2025-07-24",
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"series_origin": "CONFIRMED_RETITLED_PULSE_EXCERPT",
"parent_issue_url": "https://newsletter.pragmaticengineer.com/p/the-pulse-140",
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"contribution": "Discusses METR’s experienced-maintainer experiment and possible workflow explanations.",
"in_short": "Discusses METR’s experienced-maintainer experiment and possible workflow explanations.",
"summary": "Discusses METR’s experienced-maintainer experiment and possible workflow explanations. A targeted primary-source check confirms 16 developers and 246 issues randomized by issue to AI allowed or disallowed, not separate developer treatment groups.",
"main_findings": "The primary study reports slower completion in this specific early-2025 setting. P052’s broader all-tools inference and proposed familiarity explanation remain interpretations; neither is independent causal validation.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "P052 says 136 issues and implies assignment by developer. METR’s primary methodology reports 246 issues and issue-level randomization, with developers working in both conditions. Do not reproduce the secondary account’s conflicting design description. A primary abstract/methodology check was performed, not a full-paper audit or statistical replication. This is a retitled Pulse excerpt; preserve its existing series provenance. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "This is secondary commentary on W023, not a replication; the all-tools extrapolation and causal learning-curve explanation are unsupported.",
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"manuscript_citation_status": "ACTUAL_APPENDIX_B_ONLY",
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"secondary_domains": "",
"evidence_origin": "SECONDARY_RESEARCH_REPORTING",
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"underlying_research_check": "TARGETED_PRIMARY_METHODS_AND_ABSTRACT_CHECK_NOT_REPLICATION",
"review_outcome": "RETAINED",
"review_reason": "Secondary article still says 136 issues and developer-group assignment; preserve correction from primary METR methods.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
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}P053Pragmatic Engineerpaid preview
Gergely Orosz; Quentin Pradet · 2025-07-29
Quentin Pradet examines API-first design, SDK generation, documentation and ongoing maintenance for human and model consumers.
Evidence, context & provenance
Evidence boundaryA section explicitly discusses LLM-assisted SDK generation; it is secondary to the broader SDK design guidance. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Clear contracts and robust libraries reduce integration friction; translating an SDK with an LLM does not remove language-specific correctness and maintenance work.
Source type, as recorded: Industry/practitioner publication — guest practitioner guidance
Editorial use. SDK contracts and reusable interfaces support maintainable systems without directly measuring AI-generated code quality.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Code reuse and duplication · Specifications and governance
All preserved graph attributes
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"group": "Code quality & security",
"year": "2025",
"authors": "Gergely Orosz; Quentin Pradet",
"source": "https://newsletter.pragmaticengineer.com/p/building-great-sdks",
"source_url": "https://newsletter.pragmaticengineer.com/p/building-great-sdks",
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"summary": "Quentin Pradet examines API-first design, SDK generation, documentation and ongoing maintenance for human and model consumers.",
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"manual_use": "SDK contracts and reusable interfaces support maintainable systems without directly measuring AI-generated code quality.",
"evidence_class": "Industry/practitioner publication — guest practitioner guidance",
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}P054Pragmatic Engineerpaid preview
Gergely Orosz · 2025-08-12
Interviews and job descriptions explain customer-embedded engineering, product feedback and AI integration responsibilities.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The role combines implementation and domain discovery, with substantial variation between employers; demand examples are not a universal career forecast.
Source type, as recorded: Industry/practitioner publication — role analysis with interviews
Editorial use. FDE role design links technical integration to customer work; demand claims do not establish universal career advantages.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Employment and early-career roles · Human-agent collaboration
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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"label": "What are Forward Deployed Engineers, and why are they so in demand?",
"kind": "practitioner_article",
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"source": "https://newsletter.pragmaticengineer.com/p/forward-deployed-engineers",
"source_url": "https://newsletter.pragmaticengineer.com/p/forward-deployed-engineers",
"url": "https://newsletter.pragmaticengineer.com/p/forward-deployed-engineers",
"publication_date": "2025-08-12",
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"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "FDE role design links technical integration to customer work; demand claims do not establish universal career advantages.",
"evidence_class": "Industry/practitioner publication — role analysis with interviews",
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}P055Pragmatic Engineerpublic text
Gergely Orosz · 2025-08-14
Collects public hiring language and leadership accounts of demanding work schedules at AI companies, questioning the incentives used to justify them.
Evidence, context & provenance
Evidence boundaryNon-Pulse-titled excerpt. Updated 23 October 2025; legal assertions are not adopted as guidance. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-08-14. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Illustrates organizational pressure and sustainability risks; selected examples do not quantify prevalence or prove a causal productivity effect.
Source type, as recorded: Industry/practitioner publication — reported work culture analysis
Editorial use. Reported working hours and incentives are organizational conditions, not productivity measurements or labor-law conclusions.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Human cognitive load · Employment and early-career roles
All preserved graph attributes
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"label": "New trend: extreme hours at AI startups",
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"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Jobs & roles",
"year": "2025",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/new-trend-extreme-hours-at-ai-startups/",
"source_url": "https://blog.pragmaticengineer.com/new-trend-extreme-hours-at-ai-startups/",
"url": "https://blog.pragmaticengineer.com/new-trend-extreme-hours-at-ai-startups/",
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"summary": "Collects public hiring language and leadership accounts of demanding work schedules at AI companies, questioning the incentives used to justify them.",
"main_findings": "Illustrates organizational pressure and sustainability risks; selected examples do not quantify prevalence or prove a causal productivity effect.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Non-Pulse-titled excerpt. Updated 23 October 2025; legal assertions are not adopted as guidance. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-08-14. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Reported working hours and incentives are organizational conditions, not productivity measurements or labor-law conclusions.",
"evidence_class": "Industry/practitioner publication — reported work culture analysis",
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"access_status": "public_text",
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"empirical_replication_status": "NOT_PERFORMED",
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"byline_and_contributors": "Gergely Orosz",
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}P056Pragmatic Engineerpublic text
Gergely Orosz; Elin Nilsson · 2025-08-19
The second installment of the reader survey covers collaboration, project management, databases and backend infrastructure.
Evidence, context & provenance
Evidence boundarySame April–May 2025 respondent cohort as Parts 1 and 3. The reported gross 3,000-plus submissions and cleaned 2,997 retained responses refer to stages of the same reader survey, not separate datasets. No microdata recount was performed. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Reported use and sentiment differ across tool categories and company sizes; these observations are not controlled tool comparisons.
Source type, as recorded: Industry/practitioner publication — reader survey analysis
Editorial use. The second tools-survey installment describes the same respondent cohort's infrastructure choices.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Developer workflow and adoption · Dataset provenance and dependency
All preserved graph attributes
{
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"kind": "practitioner_article",
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"group": "Engineering structure",
"year": "2025",
"authors": "Gergely Orosz; Elin Nilsson",
"source": "https://newsletter.pragmaticengineer.com/p/the-pragmatic-engineer-2025-survey-part-2",
"source_url": "https://newsletter.pragmaticengineer.com/p/the-pragmatic-engineer-2025-survey-part-2",
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"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Same April–May 2025 respondent cohort as Parts 1 and 3. The reported gross 3,000-plus submissions and cleaned 2,997 retained responses refer to stages of the same reader survey, not separate datasets. No microdata recount was performed. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
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"evidence_origin": "ORIGINAL_VOLUNTARY_OBSERVATIONAL_SURVEY",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
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"review_reason": "The reported gross 3,000-plus submissions and cleaned 2,997 retained responses refer to stages of the same reader survey, not separate datasets. No microdata recount was performed.",
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}P057Pragmatic Engineerpublic text
Gergely Orosz · 2025-08-21
Examines maintenance-fee and other funding mechanisms for open-source work, including the burden of supporting users and reviewing contributions.
Evidence, context & provenance
Evidence boundaryUpdated 22 August 2025. No legal-compliance conclusion is independently evaluated. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-08-21. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Separates software availability from the recurring cost of stewardship. The examples do not establish that a particular fee model generalizes to every project.
Source type, as recorded: Industry/practitioner publication — reported maintenance economics
Editorial use. Open-source funding affects maintenance capacity; the cases do not independently quantify AI's effects on sustainability.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Economic costs and return · Review capacity and maintainers
All preserved graph attributes
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}P058Pragmatic Engineerpaid preview
Gergely Orosz; Mike Mroczka · 2025-08-26
Mike Mroczka presents structured problem-solving and practice advice against a changing interview landscape affected by AI assistance.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Preparation can improve interview performance, but interview success and real-world engineering competence are distinct constructs.
Source type, as recorded: Industry/practitioner publication — guest practitioner guidance
Editorial use. Interview problem-solving guidance addresses competence demonstration rather than retained learning or AI-tool efficacy.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Skills formation and teaching · Evaluation methodology and baselines
All preserved graph attributes
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"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Interview problem-solving guidance addresses competence demonstration rather than retained learning or AI-tool efficacy.",
"evidence_class": "Industry/practitioner publication — guest practitioner guidance",
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}P059Pragmatic Engineerpaid preview
Gergely Orosz · 2025-09-02
Recruitment and employment datasets are assembled to examine engineering hiring, AI roles, tenure, location and management layers.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Coverage differs between job postings, observed employment changes and company headcounts. Their trends do not isolate AI effects on employment.
Source type, as recorded: Industry/practitioner publication — labor market data report
Editorial use. The data-led labor report requires separating vacancy, workforce and seniority measures before causal interpretation.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Dataset provenance and dependency
All preserved graph attributes
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"group": "Jobs & roles",
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"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/state-of-the-tech-market-in-2025",
"source_url": "https://newsletter.pragmaticengineer.com/p/state-of-the-tech-market-in-2025",
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"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
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}P060Pragmatic Engineerpaid preview
Gergely Orosz; Elin Nilsson · 2025-09-09
Research and interviews with current and former Google engineers describe roles, hiring, career structures and shared engineering practices.
Evidence, context & provenance
Evidence boundaryOutline-level preview; shared research with Part 2. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible overview emphasizes common infrastructure alongside team variation. Detailed company claims behind the paywall remain unverified in this review.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. Google interview accounts contextualize engineering coordination and ownership, not a representative industry baseline.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Ownership and knowledge transfer · Developer workflow and adoption
All preserved graph attributes
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"source": "https://newsletter.pragmaticengineer.com/p/google",
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"manual_use": "Google interview accounts contextualize engineering coordination and ownership, not a representative industry baseline.",
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"access_status": "paid_preview",
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}P061Pragmatic EngineerIn the published NDSE2 bibliographypublic text
Gergely Orosz; Laura Tacho · 2025-09-16
Laura Tacho presents company measurement practices combining adoption, delivery, quality and developer experience, with baseline and segmentation guidance.
Evidence, context & provenance
Evidence boundaryAt publication Orosz disclosed investment in DX and Tacho was DX CTO; article states it was not sponsored. The source discloses Laura Tacho’s DX role and Orosz’s investment in DX. Company measurement practices are not a new randomized causal estimate. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Metrics should constrain one another: output alone cannot establish net value. The framework and cases are practitioner evidence, not a new randomized evaluation.
Source type, as recorded: Industry/practitioner publication — multi company measurement report
Editorial use. Multi-company measurement practices combine delivery, quality and developer experience; commercial affiliations remain explicit.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Output versus shipped value · Evaluation methodology and baselines · Economic costs and return
7 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
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"kind": "practitioner_article",
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"year": "2025",
"authors": "Gergely Orosz; Laura Tacho",
"source": "https://newsletter.pragmaticengineer.com/p/how-tech-companies-measure-the-impact-of-ai",
"source_url": "https://newsletter.pragmaticengineer.com/p/how-tech-companies-measure-the-impact-of-ai",
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"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "At publication Orosz disclosed investment in DX and Tacho was DX CTO; article states it was not sponsored. The source discloses Laura Tacho’s DX role and Orosz’s investment in DX. Company measurement practices are not a new randomized causal estimate. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Multi-company measurement practices combine delivery, quality and developer experience; commercial affiliations remain explicit.",
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"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "Multi-company measurement practices combine delivery, quality and developer experience; commercial affiliations remain explicit.",
"relevance": "AI_FOR_SE",
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"controlled_experiment_status": "not_asserted",
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"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
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}P062Pragmatic Engineerpaid preview
Gergely Orosz · 2025-09-23
Interviews with founding engineers explain tool access, stack choices, rapid prototyping, subagents and internal verification practices.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The case links capability to the surrounding harness and team workflow. Company estimates of generated code and release speed are not controlled productivity results.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. The creator case explains harness and feedback design, without independently validating vendor effectiveness claims.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Long-running agent execution · Human-agent collaboration
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P063Pragmatic Engineerpaid preview
Gergely Orosz; Elin Nilsson · 2025-09-30
Interviews and source research describe Google’s internal infrastructure, monorepo, development tools and AI integration.
Evidence, context & provenance
Evidence boundaryShares interviews and research with Google culture Part 1; not an independent replication. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. A coherent internal platform can support scale while imposing complexity on new projects. Company-specific practices require contextual transfer.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. The second Google installment extends shared interview reporting into tooling and architecture.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Ownership and knowledge transfer · Dataset provenance and dependency
All preserved graph attributes
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"source": "https://newsletter.pragmaticengineer.com/p/google-part-2",
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}P064Pragmatic Engineerpaid preview
Gergely Orosz · 2025-10-07
Interviews with hiring managers and recruiters examine application volumes, referrals, product-engineering demand and fraudulent applicants.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The reporting challenges a single-cause AI explanation for difficult hiring. Employer testimony is not representative population evidence.
Source type, as recorded: Industry/practitioner publication — labor market interviews
Editorial use. Labor-market interviews describe recruitment signals and uneven opportunities; AI is one contextual factor, not an isolated causal effect or a measured software-development intervention.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles
All preserved graph attributes
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"group": "Jobs & roles",
"year": "2025",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/state-of-the-tech-market-in-2025-hiring-managers",
"source_url": "https://newsletter.pragmaticengineer.com/p/state-of-the-tech-market-in-2025-hiring-managers",
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"summary": "Interviews with hiring managers and recruiters examine application volumes, referrals, product-engineering demand and fraudulent applicants.",
"main_findings": "The reporting challenges a single-cause AI explanation for difficult hiring. Employer testimony is not representative population evidence.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Labor-market interviews describe recruitment signals and uneven opportunities; AI is one contextual factor, not an isolated causal effect or a measured software-development intervention.",
"evidence_class": "Industry/practitioner publication — labor market interviews",
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"empirical_replication_status": "NOT_PERFORMED",
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"secondary_domains": "AI_HIRING_AND_ASSESSMENT",
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}P065Pragmatic Engineerpublic text
Gergely Orosz; Elin Nilsson · 2025-10-14
The final part of the 2025 reader survey covers observability, incident management, frontend tools and experimentation platforms.
Evidence, context & provenance
Evidence boundarySame April–May 2025 survey cohort as Parts 1 and 2; do not count as independent studies. The reported gross 3,000-plus submissions and cleaned 2,997 retained responses refer to stages of the same reader survey, not separate datasets. No microdata recount was performed. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Tool mentions describe the responding readership; popularity is not evidence of technical superiority or measured productivity.
Source type, as recorded: Industry/practitioner publication — reader survey analysis
Editorial use. The third tools-survey installment extends the same dataset to observability and frontend systems.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 11: Teams, Governance and the Engineering OrganizationEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Developer workflow and adoption · Dataset provenance and dependency
All preserved graph attributes
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}P066Pragmatic Engineerpaid preview
Gergely Orosz; Matthew Hawthorne · 2025-10-21
Matthew Hawthorne discusses architectural tradeoffs, operational learning and shared responsibility using Netflix examples.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Architecture should improve the problems a team faces rather than merely reorganize code; formal architect titles are not a prerequisite.
Source type, as recorded: Industry/practitioner publication — guest practitioner guidance
Editorial use. Architectural principles clarify long-term changeability; they are not an empirical comparison of agent designs.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 5: Quality, Architecture and MaintainabilityEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Architecture and modularity · Technical debt and complexity
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "What is good software architecture?",
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}P067Pragmatic Engineerpublic text
Gergely Orosz · 2025-10-23
Explains a DynamoDB DNS race and the cascading effects of shared service dependencies using the provider’s incident account.
Evidence, context & provenance
Evidence boundaryThis non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-10-23. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Useful for illustrating stale concurrent actions, dependency amplification and recovery design. It does not demonstrate an AI-caused incident.
Source type, as recorded: Industry/practitioner publication — incident analysis
Editorial use. The outage concerns a conventional infrastructure failure; no AI origin or AI-specific causal mechanism is inferred.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Specifications and governance
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P068Pragmatic Engineerpaid preview
Gergely Orosz · 2025-10-28
Visits to AI companies and local events inform an account of development practices, hiring and geographic concentration.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The piece offers situated observations about a technology cluster, not a systematic ranking of cities or a causal test of colocation.
Source type, as recorded: Industry/practitioner publication — field visit report
Editorial use. Field observations concern geographic concentration of AI-related activity, not a quantified global ranking.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Economic costs and return
All preserved graph attributes
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}P069Pragmatic Engineerpublic text
Gergely Orosz · 2025-10-30
Compares a principal-level candidate’s interviews, emphasizing systems design, behavioral assessment and company-specific processes.
Evidence, context & provenance
Evidence boundaryExcerpt of Pulse #149, retained because its standalone title is not The Pulse. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-10-09. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. The interview counts concern one pseudonymous candidate across multiple companies, not dozens of independent candidates. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Demonstrates variation in assessment and leveling from one candidate’s experience, not comparative company hiring success rates.
Source type, as recorded: Industry/practitioner publication — single participant interview report
Editorial use. One candidate's multi-company comparison illustrates assessment variation and cannot estimate industry prevalence.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Evaluation methodology and baselines · Skills formation and teaching
All preserved graph attributes
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}P070Pragmatic Engineerpublic text
Gergely Orosz · 2025-10-30
Discusses concurrent coding-agent workflows through practitioner accounts, contrasting parallel task execution with the serial attention needed to review and land changes.
Evidence, context & provenance
Evidence boundaryExcerpt of Pulse #149; shares that issue, not the content of the separate interview-comparison article. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-10-09. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. The public account explicitly reuses the Sid Bidasaria conversation reported in P062. It is a different article, not independent interview evidence. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Suggests task partitioning and coordination skills may matter more as agents multiply. Benefits and cognitive costs are hypotheses rather than measured comparative outcomes.
Source type, as recorded: Industry/practitioner publication — reported practice commentary
Editorial use. Parallel agent dispatch creates coordination and verification demands; number of agents is not proof of productivity.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Long-running agent execution · Human-agent collaboration · Agent failure and escalation
10 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P071Pragmatic Engineerpaid preview
Gergely Orosz · 2025-11-04
Job-seeker interviews and recruitment-platform observations describe uneven demand by experience, specialization and location.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Applicant experience and platform activity reveal different parts of the market. They do not by themselves identify AI-caused displacement.
Source type, as recorded: Industry/practitioner publication — labor market reporting
Editorial use. Labor-market interviews describe recruitment signals and uneven opportunities; AI is one contextual factor, not an isolated causal effect or a measured software-development intervention.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles
All preserved graph attributes
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}P072Pragmatic Engineerpublic text
Gergely Orosz · 2025-11-11
Recounts technical-book pitching, publisher collaboration, commercial terms and the eventual choice to self-publish.
Evidence, context & provenance
Evidence boundary Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Offers an individual publishing case and editorial lessons, not evidence about AI-assisted software engineering.
Source type, as recorded: Industry/practitioner publication — first person publishing case
Editorial use. The author explains book pitching; keep the publishing record separate from software-engineering evidence.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
All preserved graph attributes
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}P073Pragmatic Engineerpaid preview
Gergely Orosz; Ethan Evans · 2025-11-18
Ethan Evans discusses progression through technical and management tracks, independent execution and organizational scope.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Career expectations depend on role and company context. Retrospective promotion advice is not a validated competence rubric or an AI-specific labor forecast.
Source type, as recorded: Industry/practitioner publication — guest practitioner guidance
Editorial use. Career-path advice concerns scope and responsibility, without demonstrating measured productivity or learning effects.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Employment and early-career roles · Ownership and knowledge transfer
All preserved graph attributes
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"year": "2025",
"authors": "Gergely Orosz; Ethan Evans",
"source": "https://newsletter.pragmaticengineer.com/p/career-paths-for-software-engineers",
"source_url": "https://newsletter.pragmaticengineer.com/p/career-paths-for-software-engineers",
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"evidence_class": "Industry/practitioner publication — guest practitioner guidance",
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"access_status": "paid_preview",
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}P074Pragmatic Engineerpublic text
Gergely Orosz · 2025-11-21
Describes Nasha Tech’s staged translation and technical review of the author’s book, alongside observations of its development tools and local product work.
Evidence, context & provenance
Evidence boundaryAuthor has a direct interest in the book; updated 24 November 2025. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Shows one organization investing in shared engineering knowledge and language access. No measured learning or productivity effect is established.
Source type, as recorded: Industry/practitioner publication — first person company visit
Editorial use. A translation announcement concerns access to a book; it provides no evaluated learning outcome.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
All preserved graph attributes
{
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}P075Pragmatic Engineerpaid preview
Gergely Orosz; Hamel Husain · 2025-12-02
Hamel Husain describes error analysis, deterministic checks, judge evaluation and production feedback for LLM applications.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Judge outputs need comparison with human expertise and held-out data; an apparent successful demonstration is not a robust evaluation.
Source type, as recorded: Industry/practitioner publication — guest practitioner method
Editorial use. LLM application evaluation offers transferable checker-design ideas, but software acceptance requires software-specific oracles.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 7: Independent Verification and the Oracle ProblemEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Independent verification and oracles · Evaluation methodology and baselines · Automation bias and trust
5 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
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"year": "2025",
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"source": "https://newsletter.pragmaticengineer.com/p/evals",
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}P076Pragmatic Engineerpublic text
Gergely Orosz · 2025-12-05
Uses an interview with Downdetector engineering leadership to examine why a multi-cloud monitoring service still depended on Cloudflare.
Evidence, context & provenance
Evidence boundaryNon-Pulse-titled public excerpt of Pulse #154. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2025-11-20. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Reliability depends on the complete dependency chain; removing a dependency can carry substantial cost and operational burden. This is a contextual trade-off, not proof that redundancy is unnecessary.
Source type, as recorded: Industry/practitioner publication — reported architecture case
Editorial use. An availability architecture trades dependency risk against operational cost; it is not an AI-specific ROI study.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Economic costs and return · Dependencies and agent supply chain · Architecture and modularity
All preserved graph attributes
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}P077Pragmatic Engineerpaid preview
Gergely Orosz; Elin Nilsson · 2025-12-09
Developer accounts and maintainer interviews examine internal MCP adoption, debugging, legacy systems and tool-interface design.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Internal use can differ from public visibility; expanded tool access also requires security boundaries. The collected accounts are not a representative adoption census.
Source type, as recorded: Industry/practitioner publication — multi practitioner survey and interviews
Editorial use. Accounts from MCP implementers and maintainers explain interface design, integration and trust boundaries. Security is important but not the sole subject; detailed paid content remains unreviewed.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Dependencies and agent supply chain · Agent context and persistent memory
4 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P078Pragmatic EngineerIn the published NDSE2 bibliographypublic text
Gergely Orosz (introduction/interview); Nicole Forsgren; Abi Noda (excerpts) · 2025-12-10
An interview and excerpts from Nicole Forsgren and Abi Noda connect developer friction, organizational change and meaningful measurement.
Evidence, context & provenance
Evidence boundary Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Faster generation need not remove delivery bottlenecks. The introduced book explicitly distinguishes practitioner guidance from the research foundations of Accelerate.
Source type, as recorded: Industry/practitioner publication — introduced guest book excerpt
Editorial use. Developer-friction guidance connects individual workflow to organizational delivery; a book excerpt is not a fresh experiment.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Developer workflow and adoption · Output versus shipped value · Human cognitive load
3 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P079Pragmatic Engineerpaid preview
Gergely Orosz · 2025-12-16
An incident responder explains AWS’s October outage, mitigation coordination, lock contention and planned verification improvements.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The account grounds reliability in system behavior and response practices rather than unsupported staffing explanations. It is an insider post-incident account, not an AI productivity study.
Source type, as recorded: Industry/practitioner publication — incident response interview
Editorial use. Incident-response reporting illustrates operational coordination and learning, without testing AI-generated recovery strategies.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Specifications and governance · Ownership and knowledge transfer
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
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}P080Pragmatic Engineerpublic text
Gergely Orosz · 2026-01-06
Orosz combines bounded personal experiments and practitioner accounts to discuss the shift from typing code toward product judgment, verification and coordination.
Evidence, context & provenance
Evidence boundaryOriginally paid; made public September 24. Use original January publication date. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The essay forecasts role changes while acknowledging quality and workload risks; low-risk tested examples do not prove equivalent results in all production settings.
Source type, as recorded: Industry/practitioner publication — practitioner forecast
Editorial use. Changed code-production practices redistribute work and identity while retaining the need for understanding.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Human-agent collaboration · System understanding and rationale
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
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"kind": "practitioner_article",
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"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/when-ai-writes-almost-all-code-what",
"source_url": "https://newsletter.pragmaticengineer.com/p/when-ai-writes-almost-all-code-what",
"url": "https://newsletter.pragmaticengineer.com/p/when-ai-writes-almost-all-code-what",
"publication_date": "2026-01-06",
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"contribution": "Orosz combines bounded personal experiments and practitioner accounts to discuss the shift from typing code toward product judgment, verification and coordination.",
"in_short": "Orosz combines bounded personal experiments and practitioner accounts to discuss the shift from typing code toward product judgment, verification and coordination.",
"summary": "Orosz combines bounded personal experiments and practitioner accounts to discuss the shift from typing code toward product judgment, verification and coordination.",
"main_findings": "The essay forecasts role changes while acknowledging quality and workload risks; low-risk tested examples do not prove equivalent results in all production settings.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Originally paid; made public September 24. Use original January publication date. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Changed code-production practices redistribute work and identity while retaining the need for understanding.",
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}P081Pragmatic Engineerpaid preview
Gergely Orosz; Michael Abernethy · 2026-01-13
A Rubrik practitioner account explains shared UI components, ownership and when a design-system investment makes sense, including AI-assisted implementation.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Consistent components and design rules require maintained shared knowledge; generating UI code alone does not create a coherent design system.
Source type, as recorded: Industry/practitioner publication — guest practitioner case
Editorial use. Design-system architecture, component reuse and ownership are general software-engineering concerns. A secondary AI-assisted-development section offers context, not an AI-specific controlled comparison.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Code reuse and duplication · Agent context and persistent memory
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P082Pragmatic EngineerIn the published NDSE2 bibliographypublic text
Gergely Orosz (interview/introduction); Drew Hoskins (excerpt) · 2026-01-20
An interview and Drew Hoskins book excerpt examine diagnostics as a user interface, including feedback consumed by autonomous agents.
Evidence, context & provenance
Evidence boundary Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Useful errors and scenario-based thinking connect implementation to user intent and actionable feedback; the advice is not an experimental comparison.
Source type, as recorded: Industry/practitioner publication — introduced guest book excerpt
Editorial use. Good error behavior links product intention to observable contracts and failure handling.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Specifications and governance · Independent verification and oracles
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P083Pragmatic Engineerpublic text
Gergely Orosz · 2026-01-27
Craft’s move toward a shared visual agent interface is reported through workflows spanning engineering and nontechnical teams.
Evidence, context & provenance
Evidence boundaryAuthor discloses a family relationship with Craft’s founder and no financial interest. Paywall removed in June; original publication remains January 27. Craft’s founder is identified as Orosz’s brother. This disclosed relationship and later update material must remain visible when using the company case. A June 27, 2026 access/acquisition update is separate from the January 2026 edition date; later promotional context must not be retroactively dated to the original article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The case illustrates workflow redesign and changing ownership. Delivery improvements and counterfactual timelines are company testimony, not controlled measurements.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. A disclosed family-linked startup case illustrates adoption and workload redistribution, not a neutral representative sample.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Developer workflow and adoption · Human-agent collaboration
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P084Pragmatic EngineerIn the published NDSE2 bibliographypublic text
Gergely Orosz · 2026-01-29
Reports rebuilding a small testimonials feature with Codex, including planning, modular data, testing and deployment.
Evidence, context & provenance
Evidence boundaryThe reported replacement covers the personal functionality the author used, not the complete SaaS product; lifecycle maintenance and opportunity costs were not measured. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Reports rebuilding a small testimonials feature with Codex, including planning, modular data, testing and deployment. The replacement covered a narrower personal use case than the original service.
Reported findings / argument. Demonstrates a bounded build-versus-buy example, not the general replacement of SaaS. Maintenance, verification and changing compliance obligations remain outside the headline time comparison.
Source type, as recorded: Industry/practitioner publication — first person case report
Editorial use. The personal build-versus-buy experiment has a narrow scope; the headline omits long-term maintenance and service equivalence.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Economic costs and return · Output versus shipped value
4 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P085Pragmatic Engineerpaid preview
Gergely Orosz · 2026-02-03
Interviews compare tool-selection practices across company sizes, including locally scored AI review trials and procurement constraints.
Evidence, context & provenance
Evidence boundaryCompany-local scoring exercises and tool selection are distinct from randomized productivity comparisons; evaluation samples and scoring scales are context-specific. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Tools differ by codebase and evaluation criteria. Reported comment scoring is more informative than raw usage, but the cases do not establish a universal vendor ranking.
Source type, as recorded: Industry/practitioner publication — multi company case study
Editorial use. Choosing coding tools requires fit-for-purpose evaluation; this is procurement/evaluation rather than primarily code review.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Evaluation methodology and baselines · Developer workflow and adoption
12 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/measuring-ai-dev-tools",
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"limitation": "Company-local scoring exercises and tool selection are distinct from randomized productivity comparisons; evaluation samples and scoring scales are context-specific. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Choosing coding tools requires fit-for-purpose evaluation; this is procurement/evaluation rather than primarily code review.",
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}P086Pragmatic Engineerpaid preview
Gergely Orosz · 2026-02-10
A written interview explores Yegge’s autonomy ladder, multi-agent work, fatigue and predictions about engineering employment.
Evidence, context & provenance
Evidence boundaryYegge’s eight stages are a provocative practitioner ladder, not a validated maturity scale and not Osmani’s independent agency/orchestration axes. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. These are provocative practitioner forecasts, not validated maturity levels or labor-market estimates. Higher autonomy is not established as inherently better.
Source type, as recorded: Industry/practitioner publication — practitioner interview
Editorial use. Yegge's levels and forecasts describe a practitioner's model of agent work, not a validated maturity scale.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Long-running agent execution · Human-agent collaboration
5 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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"kind": "practitioner_article",
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"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/steve-yegge-on-ai-agents-and-the",
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"summary": "A written interview explores Yegge’s autonomy ladder, multi-agent work, fatigue and predictions about engineering employment.",
"main_findings": "These are provocative practitioner forecasts, not validated maturity levels or labor-market estimates. Higher autonomy is not established as inherently better.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Yegge’s eight stages are a provocative practitioner ladder, not a validated maturity scale and not Osmani’s independent agency/orchestration axes. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Yegge's levels and forecasts describe a practitioner's model of agent work, not a validated maturity scale.",
"evidence_class": "Industry/practitioner publication — practitioner interview",
"reviewed_evidence_class": "Industry/practitioner publication — practitioner interview",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
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"relevance": "AI_FOR_SE",
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"review_date": "2026-10-11",
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"byline_and_contributors": "Gergely Orosz",
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}P087Pragmatic Engineerpaid preview
Gergely Orosz · 2026-02-17
Interviews with Codex builders describe the agent loop, language choices, evaluation, internal use and tiered code review.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The case connects capability with harness design and verification; team estimates of generated code and counterfactual delivery time should not be treated as measured causal effects.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. The Codex case explains tool and verification design; vendor reports are not independent evaluations.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Long-running agent execution · Independent verification and oracles
4 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "How Codex is built",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "What agents can do",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/how-codex-is-built",
"source_url": "https://newsletter.pragmaticengineer.com/p/how-codex-is-built",
"url": "https://newsletter.pragmaticengineer.com/p/how-codex-is-built",
"publication_date": "2026-02-17",
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"summary": "Interviews with Codex builders describe the agent loop, language choices, evaluation, internal use and tiered code review.",
"main_findings": "The case connects capability with harness design and verification; team estimates of generated code and counterfactual delivery time should not be treated as measured causal effects.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The Codex case explains tool and verification design; vendor reports are not independent evaluations.",
"evidence_class": "Industry/practitioner publication — reported company case",
"reviewed_evidence_class": "Industry/practitioner publication — reported company case",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "The Codex case explains tool and verification design; vendor reports are not independent evaluations.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "reported_company_case",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C03;C07",
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"empirical_replication_status": "NOT_PERFORMED",
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"publication_curator": "Gergely Orosz",
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"secondary_domains": "SE_FOR_AI",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Codex interviews mix agent-product architecture and internal development workflow; retain both subject facets and separate them from measured effects.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
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}P088Pragmatic Engineerpaid preview
Gergely Orosz · 2026-02-24
Conference and workshop reporting considers organizational health, engineering careers, refactoring and Agile practices under AI adoption.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The synthesis argues that existing organizational conditions influence outcomes. Forecasts and quoted vendor data are not independent experiments.
Source type, as recorded: Industry/practitioner publication — conference synthesis
Editorial use. Conference forecasts concern potential changes in engineering roles; they should remain forecasts.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Human-agent collaboration · Employment and early-career roles
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "The Future of Software Engineering with AI: Six Predictions",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Engineering structure",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/the-future-of-software-engineering-with-ai",
"source_url": "https://newsletter.pragmaticengineer.com/p/the-future-of-software-engineering-with-ai",
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"contribution": "Conference and workshop reporting considers organizational health, engineering careers, refactoring and Agile practices under AI adoption.",
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"summary": "Conference and workshop reporting considers organizational health, engineering careers, refactoring and Agile practices under AI adoption.",
"main_findings": "The synthesis argues that existing organizational conditions influence outcomes. Forecasts and quoted vendor data are not independent experiments.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Conference forecasts concern potential changes in engineering roles; they should remain forecasts.",
"evidence_class": "Industry/practitioner publication — conference synthesis",
"reviewed_evidence_class": "Industry/practitioner publication — conference synthesis",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Conference forecasts concern potential changes in engineering roles; they should remain forecasts.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
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"byline_and_contributors": "Gergely Orosz",
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}P089Pragmatic EngineerIn the published NDSE2 bibliographypublic article paid extras
Gergely Orosz; Elin Nilsson · 2026-03-03
A survey of newsletter readers examines coding-tool adoption, model preferences, seniority and organizational differences.
Evidence, context & provenance
Evidence boundarySurvey ran January 27–February 17, 2026; same cohort as the two impact follow-ups. The author reports 906 responses for the shared 2026 cohort. This is not an independently counted sample; comparisons with other survey waves are not a matched longitudinal panel. The same page calls the paid supplement 65 pages near the beginning and 35 pages near the end. It also pairs 55% regular agent usage with 507 people; 507/906 is about 56%, so the response denominator or rounding needs clarification. Neither discrepancy is silently corrected. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The volunteer survey reports associations among tool use, role, company size and sentiment. Procurement explanations are author hypotheses, not identified causes; neither population market share nor causal productivity follows from these responses.
Source type, as recorded: Industry/practitioner publication — reader survey analysis
Editorial use. The reader survey measures reported usage and sentiment, not causal productivity or population-wide adoption.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; separate paid supplementary material not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Developer workflow and adoption · Dataset provenance and dependency
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "AI Tooling for Software Engineers in 2026",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Productivity",
"year": "2026",
"authors": "Gergely Orosz; Elin Nilsson",
"source": "https://newsletter.pragmaticengineer.com/p/ai-tooling-2026",
"source_url": "https://newsletter.pragmaticengineer.com/p/ai-tooling-2026",
"url": "https://newsletter.pragmaticengineer.com/p/ai-tooling-2026",
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"contribution": "A survey of newsletter readers examines coding-tool adoption, model preferences, seniority and organizational differences.",
"in_short": "A survey of newsletter readers examines coding-tool adoption, model preferences, seniority and organizational differences.",
"summary": "A survey of newsletter readers examines coding-tool adoption, model preferences, seniority and organizational differences.",
"main_findings": "The volunteer survey reports associations among tool use, role, company size and sentiment. Procurement explanations are author hypotheses, not identified causes; neither population market share nor causal productivity follows from these responses.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Survey ran January 27–February 17, 2026; same cohort as the two impact follow-ups. The author reports 906 responses for the shared 2026 cohort. This is not an independently counted sample; comparisons with other survey waves are not a matched longitudinal panel. The same page calls the paid supplement 65 pages near the beginning and 35 pages near the end. It also pairs 55% regular agent usage with 507 people; 507/906 is about 56%, so the response denominator or rounding needs clarification. Neither discrepancy is silently corrected. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The reader survey measures reported usage and sentiment, not causal productivity or population-wide adoption.",
"evidence_class": "Industry/practitioner publication — reader survey analysis",
"reviewed_evidence_class": "Industry/practitioner publication — reader survey analysis",
"access_status": "public_article_paid_extras",
"access_note": "Public main article available; separate paid supplementary material not reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "The reader survey measures reported usage and sentiment, not causal productivity or population-wide adoption.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "reader_survey_analysis",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C02;C11",
"section_id": "2.4;11.1",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "W020",
"shared_source_groups": "DATA:P:AI_SURVEY_2026",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "ACTUAL_APPENDIX_B_ONLY",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "ORIGINAL_VOLUNTARY_OBSERVATIONAL_SURVEY",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "MAPPING_REVISED",
"review_reason": "All eight advertised survey sections and demographics are visible; paid material is an additional report. Adoption and organizational patterns inform observational adoption and team work, not a measured comprehension-debt claim. Avoid treating the author's procurement explanation as an established causal result. The author reports 906 responses for the shared 2026 cohort. This is not an independently counted sample; comparisons with other survey waves are not a matched longitudinal panel. The same page calls the paid supplement 65 pages near the beginning and 35 pages near the end. It also pairs 55% regular agent usage with 507 people; 507/906 is about 56%, so the response denominator or rounding needs clarification. Neither discrepancy is silently corrected.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz; Elin Nilsson",
"book_integration_version": "v5_20261011",
"book_actual_sections": "",
"book_appendix_anchor": "app:orosz-practitioner",
"book_use_access_boundary": "Inspected public passages only; corpus-level full-text restrictions unchanged",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": true,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P090Pragmatic Engineerpaid preview
Gergely Orosz · 2026-03-10
An industry case describes Uber’s AI development platform, shared context, internal agents and review-related tooling.
Evidence, context & provenance
Evidence boundaryOriginal publication March 10; updated March 11. Reported adoption percentages use different denominators. Author discloses former employment at Uber. The source’s correction distinguishes 84% agentic-tool adoption from 65–72% IDE code-generation figures and CLI-specific measures; those denominators must not be interchanged. An author correction in the March 12, 2026 Pulse distinguishes the IDE-generated-code share from an earlier erroneous percentage. Original date, updated text and company-level denominators remain separate. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The report describes internal tools, organizational context and patterns of agent adoption at Uber. These accounts suggest engineering dependencies worth testing elsewhere, but do not isolate the causal effect of platform integration on delivery outcomes.
Source type, as recorded: Industry/practitioner publication — reported company case
Editorial use. Uber's internal integration and company context are operational conditions that limit transfer of reported results.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Agent context and persistent memory · Ownership and knowledge transfer
4 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "How Uber uses AI for development: inside look",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "System knowledge & memory",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/how-uber-uses-ai-for-development",
"source_url": "https://newsletter.pragmaticengineer.com/p/how-uber-uses-ai-for-development",
"url": "https://newsletter.pragmaticengineer.com/p/how-uber-uses-ai-for-development",
"publication_date": "2026-03-10",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-03-10",
"eligibility_date": "2026-03-10",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "An industry case describes Uber’s AI development platform, shared context, internal agents and review-related tooling.",
"in_short": "An industry case describes Uber’s AI development platform, shared context, internal agents and review-related tooling.",
"summary": "An industry case describes Uber’s AI development platform, shared context, internal agents and review-related tooling.",
"main_findings": "The report describes internal tools, organizational context and patterns of agent adoption at Uber. These accounts suggest engineering dependencies worth testing elsewhere, but do not isolate the causal effect of platform integration on delivery outcomes.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Original publication March 10; updated March 11. Reported adoption percentages use different denominators. Author discloses former employment at Uber. The source’s correction distinguishes 84% agentic-tool adoption from 65–72% IDE code-generation figures and CLI-specific measures; those denominators must not be interchanged. An author correction in the March 12, 2026 Pulse distinguishes the IDE-generated-code share from an earlier erroneous percentage. Original date, updated text and company-level denominators remain separate. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Uber's internal integration and company context are operational conditions that limit transfer of reported results.",
"evidence_class": "Industry/practitioner publication — reported company case",
"reviewed_evidence_class": "Industry/practitioner publication — reported company case",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Uber's internal integration and company context are operational conditions that limit transfer of reported results.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "reported_company_case",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C09;C11",
"section_id": "9.5;11.2",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "O002",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "ANNOTATION_QUALIFIED",
"review_reason": "Replace a causal-sounding platform claim with an attributed company observation. An author correction in the March 12, 2026 Pulse distinguishes the IDE-generated-code share from an earlier erroneous percentage. Original date, updated text and company-level denominators remain separate.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P091Pragmatic Engineerpaid preview
Gergely Orosz · 2026-03-17
Orosz contrasts increased generation and pull-request activity with quality problems, cleanup, outages and organizational mandates.
Evidence, context & provenance
Evidence boundaryObserved product bugs and the author’s inference that AI caused them are different claims. Visible anecdotes do not identify a causal quality effect. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Activity can rise without corresponding product value. Claims drawn from underlying studies require separate source verification before causal use.
Source type, as recorded: Industry/practitioner publication — reported practitioner analysis
Editorial use. The synthesis highlights downstream cleanup and review load rather than equating more generated changes with more value.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Output versus shipped value · Technical debt and complexity · Review capacity and maintainers
3 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Are AI agents actually slowing us down?",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Productivity",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/are-ai-agents-actually-slowing-us",
"source_url": "https://newsletter.pragmaticengineer.com/p/are-ai-agents-actually-slowing-us",
"url": "https://newsletter.pragmaticengineer.com/p/are-ai-agents-actually-slowing-us",
"publication_date": "2026-03-17",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-03-17",
"eligibility_date": "2026-03-17",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Orosz contrasts increased generation and pull-request activity with quality problems, cleanup, outages and organizational mandates.",
"in_short": "Orosz contrasts increased generation and pull-request activity with quality problems, cleanup, outages and organizational mandates.",
"summary": "Orosz contrasts increased generation and pull-request activity with quality problems, cleanup, outages and organizational mandates.",
"main_findings": "Activity can rise without corresponding product value. Claims drawn from underlying studies require separate source verification before causal use.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Observed product bugs and the author’s inference that AI caused them are different claims. Visible anecdotes do not identify a causal quality effect. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The synthesis highlights downstream cleanup and review load rather than equating more generated changes with more value.",
"evidence_class": "Industry/practitioner publication — reported practitioner analysis",
"reviewed_evidence_class": "Industry/practitioner publication — reported practitioner analysis",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "The synthesis highlights downstream cleanup and review load rather than equating more generated changes with more value.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "reported_practitioner_analysis",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C02;C08",
"section_id": "2.6;8.1",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "W004;W010",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Reuses the Uber account and contrasts PR activity with quality; observational comparisons do not identify agent-caused changes.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P092Pragmatic Engineerpaid preview
Gergely Orosz · 2026-03-24
Interviews with an experienced engineer and a former manager explore ownership, task decomposition, communication and collaboration.
Evidence, context & provenance
Evidence boundaryThe 10x label is descriptive rhetoric around one selected developer, not a measured productivity multiplier. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The account illustrates effectiveness beyond code activity; the “10x” label is rhetorical rather than a measured multiplier.
Source type, as recorded: Industry/practitioner publication — practitioner interview
Editorial use. A standout engineer's experience motivates judgment and context; '10x' is not a measured effect size.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. System understanding and rationale · Ownership and knowledge transfer
All preserved graph attributes
{
"label": "“How to be a 10x engineer” – interview with a standout dev",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Skills & learning",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/how-to-be-a-10x-engineer-interview",
"source_url": "https://newsletter.pragmaticengineer.com/p/how-to-be-a-10x-engineer-interview",
"url": "https://newsletter.pragmaticengineer.com/p/how-to-be-a-10x-engineer-interview",
"publication_date": "2026-03-24",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-03-24",
"eligibility_date": "2026-03-24",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Interviews with an experienced engineer and a former manager explore ownership, task decomposition, communication and collaboration.",
"in_short": "Interviews with an experienced engineer and a former manager explore ownership, task decomposition, communication and collaboration.",
"summary": "Interviews with an experienced engineer and a former manager explore ownership, task decomposition, communication and collaboration.",
"main_findings": "The account illustrates effectiveness beyond code activity; the “10x” label is rhetorical rather than a measured multiplier.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "The 10x label is descriptive rhetoric around one selected developer, not a measured productivity multiplier. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "A standout engineer's experience motivates judgment and context; '10x' is not a measured effect size.",
"evidence_class": "Industry/practitioner publication — practitioner interview",
"reviewed_evidence_class": "Industry/practitioner publication — practitioner interview",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "A standout engineer's experience motivates judgment and context; '10x' is not a measured effect size.",
"relevance": "GENERAL_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "practitioner_interview",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C10;C11",
"section_id": "10.8;11.2",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "An anonymous engineer profile and former-manager account do not operationally measure a tenfold productivity effect.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P093Pragmatic Engineerpublic text
Gergely Orosz · 2026-03-27
Revisits forward-deployed engineering through two disappointed practitioners and external hiring coverage, contrasting role marketing with sales and customer-delivery duties.
Evidence, context & provenance
Evidence boundaryNon-Pulse-titled blog excerpt; not a duplicate of the longer August 2025 Deepdive. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2026-03-19. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The examples qualify an earlier positive account: identical job titles can hide substantially different engineering responsibilities. They do not establish market-wide dissatisfaction rates.
Source type, as recorded: Industry/practitioner publication — reported role analysis
Editorial use. A small set of dissatisfied accounts qualifies FDE enthusiasm; it does not estimate role-wide job satisfaction.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Employment and early-career roles · Human-agent collaboration
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Is the FDE role becoming less desirable?",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Jobs & roles",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/is-the-fde-role-becoming-less-desirable/",
"source_url": "https://blog.pragmaticengineer.com/is-the-fde-role-becoming-less-desirable/",
"url": "https://blog.pragmaticengineer.com/is-the-fde-role-becoming-less-desirable/",
"publication_date": "2026-03-27",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-03-19",
"eligibility_date": "2026-03-19",
"series_origin": "CONFIRMED_RETITLED_PULSE_EXCERPT",
"parent_issue_url": "https://newsletter.pragmaticengineer.com/p/the-pulse-is-the-fde-role-becoming",
"strict_non_pulse_derived": "false",
"source_platform": "blog",
"source_section": "Blog",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Revisits forward-deployed engineering through two disappointed practitioners and external hiring coverage, contrasting role marketing with sales and customer-delivery duties.",
"in_short": "Revisits forward-deployed engineering through two disappointed practitioners and external hiring coverage, contrasting role marketing with sales and customer-delivery duties.",
"summary": "Revisits forward-deployed engineering through two disappointed practitioners and external hiring coverage, contrasting role marketing with sales and customer-delivery duties.",
"main_findings": "The examples qualify an earlier positive account: identical job titles can hide substantially different engineering responsibilities. They do not establish market-wide dissatisfaction rates.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Non-Pulse-titled blog excerpt; not a duplicate of the longer August 2025 Deepdive. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2026-03-19. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "A small set of dissatisfied accounts qualifies FDE enthusiasm; it does not estimate role-wide job satisfaction.",
"evidence_class": "Industry/practitioner publication — reported role analysis",
"reviewed_evidence_class": "Industry/practitioner publication — reported role analysis",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "A small set of dissatisfied accounts qualifies FDE enthusiasm; it does not estimate role-wide job satisfaction.",
"relevance": "AI_ECOSYSTEM",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "reported_role_analysis",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C12;C11",
"section_id": "12.5;11.2",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
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}P094Pragmatic Engineerpublic text
Gergely Orosz (introduction); Philip Kiely (guest excerpt) · 2026-03-31
An introduced excerpt by Philip Kiely explains serving models through batching, caching, quantization, parallel execution and autoscaling.
Evidence, context & provenance
Evidence boundary Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Inference engineering involves explicit latency, throughput and cost tradeoffs. This is engineering AI infrastructure, not evidence that coding assistants improve developer productivity.
Source type, as recorded: Industry/practitioner publication — introduced guest book excerpt
Editorial use. Inference serving is engineering of AI infrastructure, distinct from using AI to generate application code.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Economic costs and return · Evaluation methodology and baselines
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P095Pragmatic EngineerIn the published NDSE2 bibliographypaid preview
Gergely Orosz; Elin Nilsson · 2026-04-14
A follow-up analysis of the 2026 reader survey examines tool costs, usage limits, developer identity and uneven changes to engineering work.
Evidence, context & provenance
Evidence boundaryUses the same respondent cohort as AI Tooling 2026 and key trends Part 2; not independent replication. Builders, shippers and coasters are interpretive response groupings, not a validated psychological or competency typology. The author reports 906 responses for the shared 2026 cohort. This is not an independently counted sample; comparisons with other survey waves are not a matched longitudinal panel. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Reported attitudes and usage patterns vary substantially; editorial developer categories are not validated measures of ability.
Source type, as recorded: Industry/practitioner publication — reader survey analysis
Editorial use. Cost and identity findings extend the shared 2026 survey; editorial respondent categories are not validated competence measures.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Economic costs and return · Employment and early-career roles · Dataset provenance and dependency
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P096Pragmatic Engineerpublic text
Gergely Orosz; Steve Huynh · 2026-04-21
Steve Huynh shares experience from technical and behavioral interviews, followed by an excerpt from his book.
Evidence, context & provenance
Evidence boundaryThe guest’s approximately one thousand interviews describe experience and authority, not a published validation dataset for the proposed interview approach. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Steve Huynh shares experience from technical and behavioral interviews, followed by an excerpt from his book. The account emphasizes communication, demonstrated past work, role expectations and level calibration.
Reported findings / argument. Interview readiness includes explaining decisions and collaboration, not just solving coding tasks. Recollections and advice do not establish the predictive validity of an interview rubric.
Source type, as recorded: Industry/practitioner publication — guest practitioner essay and book excerpt
Editorial use. Experienced interviewer guidance concerns assessment quality, not a controlled test of interview validity.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Evaluation methodology and baselines · Skills formation and teaching
All preserved graph attributes
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"source": "https://newsletter.pragmaticengineer.com/p/learnings-from-conducting-1000-interviews",
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}P097Pragmatic Engineerpaid preview
Gergely Orosz · 2026-04-28
An interview with Canonical explains accelerator support, local-model packaging, developer tooling and exploratory agent-friendly OS features.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. An interview with Canonical explains accelerator support, local-model packaging, developer tooling and exploratory agent-friendly OS features. The preview distinguishes present hardware enablement from longer-term workflow plans.
Reported findings / argument. Running models and agents reliably requires infrastructure support, not just prompts. Planned capabilities should not be treated as shipping features or measured safety guarantees.
Source type, as recorded: Industry/practitioner publication — company interview and platform report
Editorial use. Operating-system AI plans concern platform integration and trust; planned features are not completed security evaluations.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Dependencies and agent supply chain · Architecture and modularity
All preserved graph attributes
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}P098Pragmatic Engineerpublic text
Gergely Orosz (introduction); Martin Kleppmann; Chris Riccomini (excerpts) · 2026-05-05
Orosz introduces authorized excerpts by Martin Kleppmann and Chris Riccomini on cloud versus self-hosting and engineers’ ethical responsibilities.
Evidence, context & provenance
Evidence boundaryDisplayed byline: Gergely Orosz. Excerpt authors: Martin Kleppmann and Chris Riccomini. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Orosz introduces authorized excerpts by Martin Kleppmann and Chris Riccomini on cloud versus self-hosting and engineers’ ethical responsibilities. The visible discussion relates operational control, expertise, workload variability and cost.
Reported findings / argument. Build/buy and hosting choices depend on workload and organizational capabilities. Excerpt authorship must be credited; this is not an Orosz experiment or an evaluation of coding agents.
Source type, as recorded: Industry/practitioner publication — introduced guest book excerpt
Editorial use. The guest excerpts connect cloud choices and professional ethics to organizational constraints; credit the book's authors.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Economic costs and return · Architecture and modularity · Specifications and governance
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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"source": "https://newsletter.pragmaticengineer.com/p/designing-data-intensive-applications-book-excerpt",
"source_url": "https://newsletter.pragmaticengineer.com/p/designing-data-intensive-applications-book-excerpt",
"url": "https://newsletter.pragmaticengineer.com/p/designing-data-intensive-applications-book-excerpt",
"publication_date": "2026-05-05",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
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"contribution": "Orosz introduces authorized excerpts by Martin Kleppmann and Chris Riccomini on cloud versus self-hosting and engineers’ ethical responsibilities.",
"in_short": "Orosz introduces authorized excerpts by Martin Kleppmann and Chris Riccomini on cloud versus self-hosting and engineers’ ethical responsibilities.",
"summary": "Orosz introduces authorized excerpts by Martin Kleppmann and Chris Riccomini on cloud versus self-hosting and engineers’ ethical responsibilities. The visible discussion relates operational control, expertise, workload variability and cost.",
"main_findings": "Build/buy and hosting choices depend on workload and organizational capabilities. Excerpt authorship must be credited; this is not an Orosz experiment or an evaluation of coding agents.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Displayed byline: Gergely Orosz. Excerpt authors: Martin Kleppmann and Chris Riccomini. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The guest excerpts connect cloud choices and professional ethics to organizational constraints; credit the book's authors.",
"evidence_class": "Industry/practitioner publication — introduced guest book excerpt",
"reviewed_evidence_class": "Industry/practitioner publication — introduced guest book excerpt",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "The guest excerpts connect cloud choices and professional ethics to organizational constraints; credit the book's authors.",
"relevance": "GENERAL_SE",
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"controlled_experiment_status": "not_asserted",
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"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C12;C11",
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"related_works": "",
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"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
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"secondary_domains": "",
"evidence_origin": "ADAPTED_OR_EXCERPTED_WORK",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
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"review_reason": "The 2026 second-edition excerpt credits Martin Kleppmann and Chris Riccomini; edition date, original book history and Orosz introduction remain distinct.",
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"byline_and_contributors": "Gergely Orosz (introduction); Martin Kleppmann; Chris Riccomini (excerpts)",
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"ndse2_in_bibliography": false,
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}P099Pragmatic Engineerpublic text
Gergely Orosz · 2026-05-12
Announces transfer of the author’s compensation-transparency project to Levels.fyi and discusses sustaining its data and maintenance.
Evidence, context & provenance
Evidence boundaryUpdated 13 May 2026. The later acquisition must not be assumed to have existed when earlier salary articles were published. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Provides provenance and a disclosed business relationship relevant to salary-data commentary, not a new compensation study.
Source type, as recorded: Industry/practitioner publication — business announcement
Editorial use. The acquisition announcement records a later financial relationship relevant to source provenance, not new compensation research.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Dataset provenance and dependency
All preserved graph attributes
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"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Catalogue-only material",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/techpays-has-been-acquired-levels-fyi/",
"source_url": "https://blog.pragmaticengineer.com/techpays-has-been-acquired-levels-fyi/",
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"contribution": "Announces transfer of the author’s compensation-transparency project to Levels.fyi and discusses sustaining its data and maintenance.",
"in_short": "Announces transfer of the author’s compensation-transparency project to Levels.fyi and discusses sustaining its data and maintenance.",
"summary": "Announces transfer of the author’s compensation-transparency project to Levels.fyi and discusses sustaining its data and maintenance.",
"main_findings": "Provides provenance and a disclosed business relationship relevant to salary-data commentary, not a new compensation study.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Updated 13 May 2026. The later acquisition must not be assumed to have existed when earlier salary articles were published. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The acquisition announcement records a later financial relationship relevant to source provenance, not new compensation research.",
"evidence_class": "Industry/practitioner publication — business announcement",
"reviewed_evidence_class": "Industry/practitioner publication — business announcement",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "The acquisition announcement records a later financial relationship relevant to source provenance, not new compensation research.",
"relevance": "CATALOGUE_ONLY",
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"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "First-person TechPays acquisition announcement is catalogue context; it does not supply a new compensation dataset.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
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}P100Pragmatic Engineerpaid preview
Gergely Orosz · 2026-05-12
Orosz revisits Brooks’s distinction between fundamental software difficulty and tool-level improvement.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Orosz revisits Brooks’s distinction between fundamental software difficulty and tool-level improvement. The preview weighs AI against earlier developments such as reliability engineering, open source and collaboration tools.
Reported findings / argument. Large increases in generated code are not automatically comparable gains in productivity, reliability or simplicity. The historical comparison is an argument, not a controlled test.
Source type, as recorded: Industry/practitioner publication — historical and conceptual essay
Editorial use. Brooks's conceptual distinction helps separate code-production acceleration from fundamental design and coordination difficulty.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Output versus shipped value · Technical debt and complexity
28 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Revisiting “No Silver Bullets” in the age of AI",
"kind": "practitioner_article",
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"authors": "Gergely Orosz",
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"source_url": "https://newsletter.pragmaticengineer.com/p/revisiting-no-silver-bullets-in-the",
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"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Brooks's conceptual distinction helps separate code-production acceleration from fundamental design and coordination difficulty.",
"evidence_class": "Industry/practitioner publication — historical and conceptual essay",
"reviewed_evidence_class": "Industry/practitioner publication — historical and conceptual essay",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
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"publication_curator": "Gergely Orosz",
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"review_reason": "Reinterprets Brooks' argument in the AI context; analogy is not proof of a universal productivity ceiling or gain.",
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}P101Pragmatic EngineerIn the published NDSE2 bibliographypaid preview
Gergely Orosz; Elin Nilsson · 2026-05-19
The final analysis of the publication’s 2026 reader survey examines team adoption, codebase quality, less-experienced engineers and differing experiences of focus and cognitive load.
Evidence, context & provenance
Evidence boundarySelf-selected respondents and subjective reports; shared 2026 survey dataset with AI Tooling 2026 and key trends Part 1. The author reports 906 responses for the shared 2026 cohort. This is not an independently counted sample; comparisons with other survey waves are not a matched longitudinal panel. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. The final analysis of the publication’s 2026 reader survey examines team adoption, codebase quality, less-experienced engineers and differing experiences of focus and cognitive load. It argues that existing engineering practices shape perceived benefits.
Reported findings / argument. Self-reported benefits coexist with maintenance and learning concerns. This is another analysis of the same survey cohort, not an independent replication of its earlier installments.
Source type, as recorded: Industry/practitioner publication — reader survey analysis
Editorial use. The same 2026 survey links reported adoption with learning and maintenance concerns, not measured retained skill.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Cognitive offloading and skill debt · Technical debt and complexity · Dataset provenance and dependency
5 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
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"kind": "practitioner_article",
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"authors": "Gergely Orosz; Elin Nilsson",
"source": "https://newsletter.pragmaticengineer.com/p/ai-impact-on-software-engineers-part-2",
"source_url": "https://newsletter.pragmaticengineer.com/p/ai-impact-on-software-engineers-part-2",
"url": "https://newsletter.pragmaticengineer.com/p/ai-impact-on-software-engineers-part-2",
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"limitation": "Self-selected respondents and subjective reports; shared 2026 survey dataset with AI Tooling 2026 and key trends Part 1. The author reports 906 responses for the shared 2026 cohort. This is not an independently counted sample; comparisons with other survey waves are not a matched longitudinal panel. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The same 2026 survey links reported adoption with learning and maintenance concerns, not measured retained skill.",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "ACTUAL_APPENDIX_B_ONLY",
"publication_curator": "Gergely Orosz",
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}P102Pragmatic Engineerpaid preview
Gergely Orosz; Jessica Salmon · 2026-05-26
The report uses job listings and workforce profiles to examine software and AI engineering demand across countries and employers.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. The report uses job listings and workforce profiles to examine software and AI engineering demand across countries and employers. The preview explicitly asks whether AI roles are replacing traditional software roles.
Reported findings / argument. The article states that the available data cannot answer replacement causally. Geography, employer coverage and the difference between posted vacancies and employment matter.
Source type, as recorded: Industry/practitioner publication — industry data analysis
Editorial use. The market report combines heterogeneous indicators and requires separating correlation, coverage and causation.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Dataset provenance and dependency
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "State of the software engineering job market in 2026",
"kind": "practitioner_article",
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"source": "https://newsletter.pragmaticengineer.com/p/state-of-the-job-market-2026",
"source_url": "https://newsletter.pragmaticengineer.com/p/state-of-the-job-market-2026",
"url": "https://newsletter.pragmaticengineer.com/p/state-of-the-job-market-2026",
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}P103Pragmatic Engineerminimal preview
Gergely Orosz · 2026-06-02
The accessible introduction announces draft keynote ideas about rising code production and possible consequences for quality, reliability and technical debt.
Evidence, context & provenance
Evidence boundaryDo not conflate this early ideas post with the later June 23 keynote summary; related but separate publications. Only a short introduction is publicly visible. P107 explicitly develops this theme later; the overlap cannot be fully assessed without authorized access to P103. No detailed findings are inferred from its title. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. The accessible introduction announces draft keynote ideas about rising code production and possible consequences for quality, reliability and technical debt. The substantive argument is behind the subscriber boundary.
Reported findings / argument. No substantive findings were accessible. Classification is provisional from the title, subtitle and short introduction, not a reconstruction of the paid text.
Source type, as recorded: Industry/practitioner publication — practitioner essay
Editorial use. Only a short introduction is accessible; retain a provisional stream without inferring detailed methods, findings or section mappings.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Minimal introduction only; substantive conclusions unconfirmed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P104Pragmatic Engineerpaid preview
Gergely Orosz; Jessica Salmon · 2026-06-09
The second labor-market report combines hiring-platform, workforce and interview-preparation data on specializations, seniority, compensation and management layers.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. The second labor-market report combines hiring-platform, workforce and interview-preparation data on specializations, seniority, compensation and management layers. Its preview distinguishes strong AI demand from weaker entry-level and other specialist demand.
Reported findings / argument. Vacancies, coaching demand and employment profiles measure different constructs. They do not establish that AI directly caused every change in hiring or compensation.
Source type, as recorded: Industry/practitioner publication — industry data analysis
Editorial use. Specialty and seniority indicators describe uneven demand, not a single estimated effect of AI on labor.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles · Dataset provenance and dependency
All preserved graph attributes
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}P105Pragmatic Engineerpublic text
Gergely Orosz · 2026-06-16
Orosz contrasts Meta’s earlier engineering culture with reported AI-related restructuring, pressure on developers and weakening operational safeguards.
Evidence, context & provenance
Evidence boundaryClaims about management intent and organizational consequences are attributed reporting; the article is not a controlled evaluation of AI or a verified causal explanation. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Orosz contrasts Meta’s earlier engineering culture with reported AI-related restructuring, pressure on developers and weakening operational safeguards. The piece combines historical comparison and contemporary employee accounts.
Reported findings / argument. The analysis raises a governance failure hypothesis: adoption pressure can undermine ownership and assurance. Its allegations and causal interpretation should remain attributed to the reporting.
Source type, as recorded: Industry/practitioner publication — investigative industry commentary
Editorial use. The report raises an organizational-risk hypothesis; employee allegations and editorial causal interpretations remain attributed.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Specifications and governance · Ownership and knowledge transfer · Technical debt and complexity
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P106Pragmatic Engineerpublic text
Gergely Orosz · 2026-06-23
Analyses a May 2026 trading outage through the disclosed matching-engine architecture, zone dependence and manual recovery requirements.
Evidence, context & provenance
Evidence boundaryPublic non-Pulse-titled excerpt of a Pulse issue; retained under the requested title-prefix rule. This non-Pulse-titled blog article is an excerpt of a Pulse issue originally published 2026-06-11. It passes the literal title-prefix rule; it is excluded by the optional stricter Pulse-origin filter. The parent issue is provenance only, not another P article. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The engineering lesson concerns tested recovery paths and explicit availability trade-offs; the estimated interrupted trading volume is not measured realized financial loss.
Source type, as recorded: Industry/practitioner publication — incident analysis
Editorial use. An outage and failover case illustrates engineering assurance; interrupted volume is not realized loss and AI causation is not inferred.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Specifications and governance
1 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Reliability fail: No automated zone failover for Coinbase’s global trading service",
"kind": "practitioner_article",
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}P107Pragmatic Engineerpaid preview
Gergely Orosz · 2026-06-23
A keynote-based synthesis contrasts rapid growth in agent-produced changes with review, reliability and team-productivity constraints.
Evidence, context & provenance
Evidence boundaryThe article explicitly develops P103 and reuses the Meta discussion in P105. Distinct articles do not supply independent confirmations of the reused claims. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. A keynote-based synthesis contrasts rapid growth in agent-produced changes with review, reliability and team-productivity constraints. The public material includes company accounts and platform activity metrics.
Reported findings / argument. Individual output and organizational delivery are different outcomes. Alleged incident causes and broad industry trends require verification beyond the reported accounts.
Source type, as recorded: Industry/practitioner publication — reported industry synthesis
Editorial use. Keynote observations reinforce the distinction between generation, review capacity and stable delivery without identifying a causal effect.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Output versus shipped value · Review capacity and maintainers · Technical debt and complexity
3 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Slow down to speed up: so much has changed in 6 months’ time",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Productivity",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/slow-down-to-speed-up",
"source_url": "https://newsletter.pragmaticengineer.com/p/slow-down-to-speed-up",
"url": "https://newsletter.pragmaticengineer.com/p/slow-down-to-speed-up",
"publication_date": "2026-06-23",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-06-23",
"eligibility_date": "2026-06-23",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "A keynote-based synthesis contrasts rapid growth in agent-produced changes with review, reliability and team-productivity constraints.",
"in_short": "A keynote-based synthesis contrasts rapid growth in agent-produced changes with review, reliability and team-productivity constraints.",
"summary": "A keynote-based synthesis contrasts rapid growth in agent-produced changes with review, reliability and team-productivity constraints. The public material includes company accounts and platform activity metrics.",
"main_findings": "Individual output and organizational delivery are different outcomes. Alleged incident causes and broad industry trends require verification beyond the reported accounts.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "The article explicitly develops P103 and reuses the Meta discussion in P105. Distinct articles do not supply independent confirmations of the reused claims. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Keynote observations reinforce the distinction between generation, review capacity and stable delivery without identifying a causal effect.",
"evidence_class": "Industry/practitioner publication — reported industry synthesis",
"reviewed_evidence_class": "Industry/practitioner publication — reported industry synthesis",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Keynote observations reinforce the distinction between generation, review capacity and stable delivery without identifying a causal effect.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "reported_industry_synthesis",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C02;C08",
"section_id": "2.5;8.1",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "W021",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Public keynote explicitly develops the earlier P103 draft and reader feedback; full overlap remains unresolved because P103 is restricted.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P108Pragmatic Engineerpublic text
Gergely Orosz · 2026-06-28
Describes the author’s investigation of a copyright complaint that deindexed an earlier company investigation.
Evidence, context & provenance
Evidence boundaryUpdated 8 July 2026. Do not turn the headline’s allegation into a verified finding. The headline attributes the deletion request to the CEO, but the body states the requester’s identity is unknown. Do not promote the headline attribution to an established fact. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Describes the author’s investigation of a copyright complaint that deindexed an earlier company investigation. He disputes the complaint and discusses source availability.
Reported findings / argument. Illustrates evidence-custody and publication fragility. Despite the headline, the author explicitly does not know who filed the complaint; the suggested responsible parties remain speculation.
Source type, as recorded: Industry/practitioner publication — first person editorial account
Editorial use. The editorial account illustrates fragility of source access; it does not establish the identity of the complainant.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Dataset provenance and dependency
All preserved graph attributes
{
"label": "Pollen tried to remove my article about CEO Callum Negus-Fancey and CTO Bradley Wright, and Google is assisting with it",
"kind": "source_methodology_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Methods and provenance",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/pollen-tried-to-remove-my-article-about-callum-negus-fancey-and-google-is-assisting-to-it/",
"source_url": "https://blog.pragmaticengineer.com/pollen-tried-to-remove-my-article-about-callum-negus-fancey-and-google-is-assisting-to-it/",
"url": "https://blog.pragmaticengineer.com/pollen-tried-to-remove-my-article-about-callum-negus-fancey-and-google-is-assisting-to-it/",
"publication_date": "2026-06-28",
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"strict_non_pulse_derived": "true",
"source_platform": "blog",
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"contribution": "Describes the author’s investigation of a copyright complaint that deindexed an earlier company investigation.",
"in_short": "Describes the author’s investigation of a copyright complaint that deindexed an earlier company investigation.",
"summary": "Describes the author’s investigation of a copyright complaint that deindexed an earlier company investigation. He disputes the complaint and discusses source availability.",
"main_findings": "Illustrates evidence-custody and publication fragility. Despite the headline, the author explicitly does not know who filed the complaint; the suggested responsible parties remain speculation.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Updated 8 July 2026. Do not turn the headline’s allegation into a verified finding. The headline attributes the deletion request to the CEO, but the body states the requester’s identity is unknown. Do not promote the headline attribution to an established fact. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The editorial account illustrates fragility of source access; it does not establish the identity of the complainant.",
"evidence_class": "Industry/practitioner publication — first person editorial account",
"reviewed_evidence_class": "Industry/practitioner publication — first person editorial account",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "The editorial account illustrates fragility of source access; it does not establish the identity of the complainant.",
"relevance": "METHODS_AND_PROVENANCE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "first_person_editorial_account",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "",
"section_id": "",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "EDITORIAL_OR_PRACTITIONER_ARGUMENT",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Copyright-dispute reporting does not establish a complainant identity merely through an accusatory article title.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P109Pragmatic Engineerpaid preview
Gergely Orosz · 2026-07-07
Accounts from hiring managers and job seekers describe noisy applications, distrust of AI-enhanced credentials and sharply different demand across specialties and regions.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Accounts from hiring managers and job seekers describe noisy applications, distrust of AI-enhanced credentials and sharply different demand across specialties and regions. This complements, rather than duplicates, the series’ vacancy-data analyses.
Reported findings / argument. Reported hiring friction can coexist with hard-to-fill positions. Interview accounts cannot estimate the industry-wide employment effect of AI or eliminate selection bias.
Source type, as recorded: Industry/practitioner publication — qualitative industry interviews
Editorial use. Labor-market interviews describe recruitment signals and uneven opportunities; AI is one contextual factor, not an isolated causal effect or a measured software-development intervention.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
Chapter 12: Economics, Jobs, Risk and Evidence-Based AdoptionEditorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Employment and early-career roles
All preserved graph attributes
{
"label": "Tech jobs market in 2026, part 3: hiring managers & job seekers",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Jobs & roles",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/tech-jobs-market-in-2026-part-3-hiring",
"source_url": "https://newsletter.pragmaticengineer.com/p/tech-jobs-market-in-2026-part-3-hiring",
"url": "https://newsletter.pragmaticengineer.com/p/tech-jobs-market-in-2026-part-3-hiring",
"publication_date": "2026-07-07",
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"original_publication_date": "2026-07-07",
"eligibility_date": "2026-07-07",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
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"strict_non_pulse_derived": "true",
"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Accounts from hiring managers and job seekers describe noisy applications, distrust of AI-enhanced credentials and sharply different demand across specialties and regions.",
"in_short": "Accounts from hiring managers and job seekers describe noisy applications, distrust of AI-enhanced credentials and sharply different demand across specialties and regions.",
"summary": "Accounts from hiring managers and job seekers describe noisy applications, distrust of AI-enhanced credentials and sharply different demand across specialties and regions. This complements, rather than duplicates, the series’ vacancy-data analyses.",
"main_findings": "Reported hiring friction can coexist with hard-to-fill positions. Interview accounts cannot estimate the industry-wide employment effect of AI or eliminate selection bias.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Labor-market interviews describe recruitment signals and uneven opportunities; AI is one contextual factor, not an isolated causal effect or a measured software-development intervention.",
"evidence_class": "Industry/practitioner publication — qualitative industry interviews",
"reviewed_evidence_class": "Industry/practitioner publication — qualitative industry interviews",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Labor-market interviews describe recruitment signals and uneven opportunities; AI is one contextual factor, not an isolated causal effect or a measured software-development intervention.",
"relevance": "LABOR_MARKET_CONTEXT",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "qualitative_industry_interviews",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C12",
"section_id": "12.5",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "AI_HIRING_AND_ASSESSMENT",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "More than fifty contributed accounts remain a selected reporting pool, not a probability sample of employed engineers.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
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}P110Pragmatic EngineerIn the published NDSE2 bibliographypaid preview
Gergely Orosz · 2026-07-14
Orosz traces Ralph-style loops, scheduled triggers and goal-oriented harness features.
Evidence, context & provenance
Evidence boundaryP110 directly links https://addyosmani.com/blog/loop-engineering/ (7 June 2026). O012 catalogues the substantially matching Substack edition (8 June 2026). Treat the edge as discussion of the same underlying work via an alternate edition, not an exact-URL citation. The paid remainder and comparative loop outcomes remain unreviewed. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Orosz traces Ralph-style loops, scheduled triggers and goal-oriented harness features. Developer accounts include useful maintenance automation alongside drift, token spending and disappointment with unnecessary orchestration.
Reported findings / argument. The article questions whether custom loops remain useful as harnesses absorb them. Context design, bounded scope and measurable benefit are more defensible than assuming that more looping improves results.
Source type, as recorded: Industry/practitioner publication — reported practitioner analysis
Editorial use. The critique challenges unnecessary custom orchestration, not the need for bounded execution, context and independent assurance.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Long-running agent execution · Agent failure and escalation · Economic costs and return
20 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "What is “loop engineering?”",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "What agents can do",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/what-is-loop-engineering",
"source_url": "https://newsletter.pragmaticengineer.com/p/what-is-loop-engineering",
"url": "https://newsletter.pragmaticengineer.com/p/what-is-loop-engineering",
"publication_date": "2026-07-14",
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"contribution": "Orosz traces Ralph-style loops, scheduled triggers and goal-oriented harness features.",
"in_short": "Orosz traces Ralph-style loops, scheduled triggers and goal-oriented harness features.",
"summary": "Orosz traces Ralph-style loops, scheduled triggers and goal-oriented harness features. Developer accounts include useful maintenance automation alongside drift, token spending and disappointment with unnecessary orchestration.",
"main_findings": "The article questions whether custom loops remain useful as harnesses absorb them. Context design, bounded scope and measurable benefit are more defensible than assuming that more looping improves results.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "P110 directly links https://addyosmani.com/blog/loop-engineering/ (7 June 2026). O012 catalogues the substantially matching Substack edition (8 June 2026). Treat the edge as discussion of the same underlying work via an alternate edition, not an exact-URL citation. The paid remainder and comparative loop outcomes remain unreviewed. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The critique challenges unnecessary custom orchestration, not the need for bounded execution, context and independent assurance.",
"evidence_class": "Industry/practitioner publication — reported practitioner analysis",
"reviewed_evidence_class": "Industry/practitioner publication — reported practitioner analysis",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "The critique challenges unnecessary custom orchestration, not the need for bounded execution, context and independent assurance.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "reported_practitioner_analysis",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C03;C12",
"section_id": "3.6;12.3",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "O012;W095;W191",
"shared_source_groups": "DATA:P:LOOP_REPLIES_2026",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "ACTUAL_MAIN_TEXT_AND_APPENDIX_B",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Accessible loop-engineering discussion refers to Osmani's website edition and weighs costs/complexity; it neither validates all loops nor refutes bounded-loop engineering.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"book_integration_version": "v5_20261011",
"book_actual_sections": "3.6",
"book_appendix_anchor": "app:orosz-practitioner",
"book_use_access_boundary": "Inspected public passages only; corpus-level full-text restrictions unchanged",
"ndse2_actual_chapters_json": "[\"C:C03\"]",
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}P111Pragmatic EngineerIn the published NDSE2 bibliographypublic text
Gergely Orosz · 2026-07-21
An interview with Simon Eskildsen connects back-of-the-envelope resource estimates, long-term systems experience and the design of turbopuffer.
Evidence, context & provenance
Evidence boundaryThe publication discloses that turbopuffer sponsors its podcast and states that this deepdive is editorially independent. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. An interview with Simon Eskildsen connects back-of-the-envelope resource estimates, long-term systems experience and the design of turbopuffer. Performance assumptions are checked against hardware limits and observed behavior.
Reported findings / argument. A gap between expected and measured performance can expose a bad benchmark or a bad model. Reported startup cost savings remain a case study, not an AI-productivity experiment.
Source type, as recorded: Industry/practitioner publication — practitioner interview
Editorial use. Resource estimates checked against observation illustrate model calibration; startup savings are not coding-agent ROI evidence.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Economic costs and return · Architecture and modularity · Evaluation methodology and baselines
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Pushing software engineering limits with “napkin math”",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Economics",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/pushing-software-engineering-limits",
"source_url": "https://newsletter.pragmaticengineer.com/p/pushing-software-engineering-limits",
"url": "https://newsletter.pragmaticengineer.com/p/pushing-software-engineering-limits",
"publication_date": "2026-07-21",
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"alternate_publications_json": "[]",
"contribution": "An interview with Simon Eskildsen connects back-of-the-envelope resource estimates, long-term systems experience and the design of turbopuffer.",
"in_short": "An interview with Simon Eskildsen connects back-of-the-envelope resource estimates, long-term systems experience and the design of turbopuffer.",
"summary": "An interview with Simon Eskildsen connects back-of-the-envelope resource estimates, long-term systems experience and the design of turbopuffer. Performance assumptions are checked against hardware limits and observed behavior.",
"main_findings": "A gap between expected and measured performance can expose a bad benchmark or a bad model. Reported startup cost savings remain a case study, not an AI-productivity experiment.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "The publication discloses that turbopuffer sponsors its podcast and states that this deepdive is editorially independent. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Resource estimates checked against observation illustrate model calibration; startup savings are not coding-agent ROI evidence.",
"evidence_class": "Industry/practitioner publication — practitioner interview",
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"relevance": "GENERAL_SE",
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"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "practitioner_interview",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "ACTUAL_MAIN_TEXT_AND_APPENDIX_B",
"publication_curator": "Gergely Orosz",
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"review_date": "2026-10-11",
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"byline_and_contributors": "Gergely Orosz",
"book_integration_version": "v5_20261011",
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}P112Pragmatic Engineerpaid preview
Gergely Orosz · 2026-07-28
Interviews at Anthropic contrast accelerated migration and implementation with long-running infrastructure projects.
Evidence, context & provenance
Evidence boundaryReported migration duration is compared with an estimated engineering counterfactual, not a controlled time-saving experiment. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Interviews at Anthropic contrast accelerated migration and implementation with long-running infrastructure projects. The visible outline preserves planning, testing, small teams and engineering understanding despite changes in how code is produced.
Reported findings / argument. Faster implementation does not eliminate coordination or verification. Migration time and token figures are company reports with hypothetical pre-AI comparisons, not matched experimental results.
Source type, as recorded: Industry/practitioner publication — company case study
Editorial use. The company case retains planning and verification despite accelerated implementation; hypothetical pre-AI comparisons remain unvalidated.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Human-agent collaboration · Output versus shipped value
2 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/inside-anthropic",
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"main_findings": "Faster implementation does not eliminate coordination or verification. Migration time and token figures are company reports with hypothetical pre-AI comparisons, not matched experimental results.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Reported migration duration is compared with an estimated engineering counterfactual, not a controlled time-saving experiment. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The company case retains planning and verification despite accelerated implementation; hypothetical pre-AI comparisons remain unvalidated.",
"evidence_class": "Industry/practitioner publication — company case study",
"reviewed_evidence_class": "Industry/practitioner publication — company case study",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
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"classification_rationale": "The company case retains planning and verification despite accelerated implementation; hypothetical pre-AI comparisons remain unvalidated.",
"relevance": "AI_FOR_SE",
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}P113Pragmatic Engineerpaid preview
Gergely Orosz; Ivan Klaric; Jesse Spevack · 2026-08-11
A company deepdive introduces trading-specific engineering incentives, tightly integrated hardware/software, platform ownership, risk management and AI adoption.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. A company deepdive introduces trading-specific engineering incentives, tightly integrated hardware/software, platform ownership, risk management and AI adoption. The public introduction contrasts low-latency execution with increasingly important predictive models.
Reported findings / argument. Speed is constrained by the consequences of failure. Trading-specific architecture and incentives are useful boundary conditions, not a template for every development team.
Source type, as recorded: Industry/practitioner publication — company case study
Editorial use. Trading-system constraints provide an important boundary case for engineering controls; do not generalize domain-specific incentives.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Specifications and governance
All preserved graph attributes
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"year": "2026",
"authors": "Gergely Orosz; Ivan Klaric; Jesse Spevack",
"source": "https://newsletter.pragmaticengineer.com/p/optiver",
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"summary": "A company deepdive introduces trading-specific engineering incentives, tightly integrated hardware/software, platform ownership, risk management and AI adoption. The public introduction contrasts low-latency execution with increasingly important predictive models.",
"main_findings": "Speed is constrained by the consequences of failure. Trading-specific architecture and incentives are useful boundary conditions, not a template for every development team.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Trading-system constraints provide an important boundary case for engineering controls; do not generalize domain-specific incentives.",
"evidence_class": "Industry/practitioner publication — company case study",
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"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Trading-system constraints provide an important boundary case for engineering controls; do not generalize domain-specific incentives.",
"relevance": "GENERAL_SE",
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"empirical_replication_status": "NOT_PERFORMED",
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"publication_curator": "Gergely Orosz",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "High-stakes trading-engineering practices contextualize quality and systems work; they are not causal AI-tool evidence.",
"review_date": "2026-10-11",
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"byline_and_contributors": "Gergely Orosz; Ivan Klaric; Jesse Spevack",
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}P114Pragmatic Engineerpaid preview
Gergely Orosz · 2026-08-18
Interviews with engineering leaders examine career breaks, founder expectations, cost pressure, changing team sizes and renewed interest in hands-on work.
Evidence, context & provenance
Evidence boundarySelected career-break interviews and the six-of-ten subgroup do not estimate a population departure rate. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Interviews with engineering leaders examine career breaks, founder expectations, cost pressure, changing team sizes and renewed interest in hands-on work. The preview highlights tension between rapid prototyping and operational ownership.
Reported findings / argument. The interviews identify plausible mechanisms and experiences, not the prevalence of leadership departures or a causal effect of AI on employment.
Source type, as recorded: Industry/practitioner publication — qualitative industry interviews
Editorial use. Leadership-break interviews concern ownership, incentives and transitions, without measuring the prevalence of AI-caused exits.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Employment and early-career roles · Ownership and knowledge transfer
All preserved graph attributes
{
"label": "Headed for the Exit: the Great Engineering Leader Career Break",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Jobs & roles",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/the-great-engineering-leader-career-break",
"source_url": "https://newsletter.pragmaticengineer.com/p/the-great-engineering-leader-career-break",
"url": "https://newsletter.pragmaticengineer.com/p/the-great-engineering-leader-career-break",
"publication_date": "2026-08-18",
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"contribution": "Interviews with engineering leaders examine career breaks, founder expectations, cost pressure, changing team sizes and renewed interest in hands-on work.",
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"summary": "Interviews with engineering leaders examine career breaks, founder expectations, cost pressure, changing team sizes and renewed interest in hands-on work. The preview highlights tension between rapid prototyping and operational ownership.",
"main_findings": "The interviews identify plausible mechanisms and experiences, not the prevalence of leadership departures or a causal effect of AI on employment.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Selected career-break interviews and the six-of-ten subgroup do not estimate a population departure rate. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Leadership-break interviews concern ownership, incentives and transitions, without measuring the prevalence of AI-caused exits.",
"evidence_class": "Industry/practitioner publication — qualitative industry interviews",
"reviewed_evidence_class": "Industry/practitioner publication — qualitative industry interviews",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Leadership-break interviews concern ownership, incentives and transitions, without measuring the prevalence of AI-caused exits.",
"relevance": "AI_ECOSYSTEM",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
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"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C12;C11",
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"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Roughly twenty leadership interviews explain individual breaks; they do not estimate industry attrition or knowledge loss.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
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}P115Pragmatic Engineerpaid preview
Gergely Orosz; Jessica Salmon; Ivan Klaric · 2026-08-25
Interviews with Ramp describe a background coding agent running in remote sandboxes with internal integrations and backend/frontend verification.
Evidence, context & provenance
Evidence boundaryAgent-origin merged-PR share is not a quality-adjusted productivity measure. Self-run tests and screenshots do not by themselves establish an independent acceptance oracle. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Interviews with Ramp describe a background coding agent running in remote sandboxes with internal integrations and backend/frontend verification. The preview explains why local-tool and context limitations motivated an internal platform.
Reported findings / argument. Remote environments and company context can matter as much as model selection. Adoption and self-verification claims are reported by the company, not controlled evidence of correctness.
Source type, as recorded: Industry/practitioner publication — company case study
Editorial use. The Inspect case emphasizes company context, remote sandboxes and verification; reported self-checks are not independent accuracy evidence.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Agent context and persistent memory · Independent verification and oracles
3 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Why Ramp built its own in-house coding agent, Inspect",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "System knowledge & memory",
"year": "2026",
"authors": "Gergely Orosz; Jessica Salmon; Ivan Klaric",
"source": "https://newsletter.pragmaticengineer.com/p/why-ramp-built-inspect",
"source_url": "https://newsletter.pragmaticengineer.com/p/why-ramp-built-inspect",
"url": "https://newsletter.pragmaticengineer.com/p/why-ramp-built-inspect",
"publication_date": "2026-08-25",
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"contribution": "Interviews with Ramp describe a background coding agent running in remote sandboxes with internal integrations and backend/frontend verification.",
"in_short": "Interviews with Ramp describe a background coding agent running in remote sandboxes with internal integrations and backend/frontend verification.",
"summary": "Interviews with Ramp describe a background coding agent running in remote sandboxes with internal integrations and backend/frontend verification. The preview explains why local-tool and context limitations motivated an internal platform.",
"main_findings": "Remote environments and company context can matter as much as model selection. Adoption and self-verification claims are reported by the company, not controlled evidence of correctness.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Agent-origin merged-PR share is not a quality-adjusted productivity measure. Self-run tests and screenshots do not by themselves establish an independent acceptance oracle. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "The Inspect case emphasizes company context, remote sandboxes and verification; reported self-checks are not independent accuracy evidence.",
"evidence_class": "Industry/practitioner publication — company case study",
"reviewed_evidence_class": "Industry/practitioner publication — company case study",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "The Inspect case emphasizes company context, remote sandboxes and verification; reported self-checks are not independent accuracy evidence.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "company_case_study",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C09;C03",
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"related_works": "O004;W159",
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"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "SE_FOR_AI",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
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"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Ramp case retains Jessica Salmon and Ivan Klaric contributor credit; internal context and infrastructure are not generic evidence of agent success.",
"review_date": "2026-10-11",
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"byline_and_contributors": "Gergely Orosz; Jessica Salmon; Ivan Klaric",
"ndse2_actual_chapters_json": "[]",
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}P116Pragmatic Engineerpublic text
Gergely Orosz · 2026-08-27
Explains how the author selects podcast guests and handles high volumes of promotional pitches, including his own AI-assisted email workflow.
Evidence, context & provenance
Evidence boundary Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. Provides publication-process context rather than evidence about development productivity or engineering effectiveness.
Source type, as recorded: Industry/practitioner publication — editorial process commentary
Editorial use. Podcast selection and email handling are editorial process, not measured software-development performance.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
All preserved graph attributes
{
"label": "Why you're not getting a response to your podcast pitch from me (or others)",
"kind": "catalogue_context_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Catalogue-only material",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/why-youre-not-getting-a-response-to-your-podcast-pitch-from-me-or-others/",
"source_url": "https://blog.pragmaticengineer.com/why-youre-not-getting-a-response-to-your-podcast-pitch-from-me-or-others/",
"url": "https://blog.pragmaticengineer.com/why-youre-not-getting-a-response-to-your-podcast-pitch-from-me-or-others/",
"publication_date": "2026-08-27",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-08-27",
"eligibility_date": "2026-08-27",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "blog",
"source_section": "Blog",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Explains how the author selects podcast guests and handles high volumes of promotional pitches, including his own AI-assisted email workflow.",
"in_short": "Explains how the author selects podcast guests and handles high volumes of promotional pitches, including his own AI-assisted email workflow.",
"summary": "Explains how the author selects podcast guests and handles high volumes of promotional pitches, including his own AI-assisted email workflow.",
"main_findings": "Provides publication-process context rather than evidence about development productivity or engineering effectiveness.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Podcast selection and email handling are editorial process, not measured software-development performance.",
"evidence_class": "Industry/practitioner publication — editorial process commentary",
"reviewed_evidence_class": "Industry/practitioner publication — editorial process commentary",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "Podcast selection and email handling are editorial process, not measured software-development performance.",
"relevance": "CATALOGUE_ONLY",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "editorial_process_commentary",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "",
"section_id": "",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "EDITORIAL_OR_PRACTITIONER_ARGUMENT",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Podcast-pitch blog post is publishing context, not a coding-agent effectiveness study.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P117Pragmatic Engineerpublic text
Gergely Orosz · 2026-09-01
Invites first-hand accounts of changing engineering practice, including AI adoption, with explicit editorial selection and human-authorship expectations.
Evidence, context & provenance
Evidence boundaryUpdated 5 October 2026. No validation of proposed AI-writing detection is established. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. A recruitment and editorial-method document, not results from the submitted accounts. Selection and incentives can shape the later evidence base.
Source type, as recorded: Industry/practitioner publication — editorial recruitment
Editorial use. An essay challenge is recruitment and source-selection context; no submission findings or AI-authorship detector validity are inferred.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; classification-bearing passages reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Cited in published NDSE2 chapters
No literal chapter citation recorded in the published edition.Editorial chapter mappings
None recorded.Editorial reading suggestions can extend beyond the published citations. Chapter guides show the outline and traceable source references.
Topics. Dataset provenance and dependency
All preserved graph attributes
{
"label": "How software engineering is changing: an essay challenge",
"kind": "source_methodology_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Methods and provenance",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://blog.pragmaticengineer.com/how-software-engineering-is-changing-an-essay-challenge/",
"source_url": "https://blog.pragmaticengineer.com/how-software-engineering-is-changing-an-essay-challenge/",
"url": "https://blog.pragmaticengineer.com/how-software-engineering-is-changing-an-essay-challenge/",
"publication_date": "2026-09-01",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-09-01",
"eligibility_date": "2026-09-01",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "blog",
"source_section": "Blog",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Invites first-hand accounts of changing engineering practice, including AI adoption, with explicit editorial selection and human-authorship expectations.",
"in_short": "Invites first-hand accounts of changing engineering practice, including AI adoption, with explicit editorial selection and human-authorship expectations.",
"summary": "Invites first-hand accounts of changing engineering practice, including AI adoption, with explicit editorial selection and human-authorship expectations.",
"main_findings": "A recruitment and editorial-method document, not results from the submitted accounts. Selection and incentives can shape the later evidence base.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Updated 5 October 2026. No validation of proposed AI-writing detection is established. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "An essay challenge is recruitment and source-selection context; no submission findings or AI-authorship detector validity are inferred.",
"evidence_class": "Industry/practitioner publication — editorial recruitment",
"reviewed_evidence_class": "Industry/practitioner publication — editorial recruitment",
"access_status": "public_text",
"access_note": "Public main article available; classification-bearing passages reviewed",
"classification_status": "REVIEWED_PUBLIC_PASSAGE_CLASSIFICATION",
"classification_rationale": "An essay challenge is recruitment and source-selection context; no submission findings or AI-authorship detector validity are inferred.",
"relevance": "METHODS_AND_PROVENANCE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "editorial_recruitment",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "",
"section_id": "",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "EDITORIAL_OR_PRACTITIONER_ARGUMENT",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Essay competition is a recruitment/methods artifact; incentives and future submissions do not count as completed findings.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P118Pragmatic EngineerIn the published NDSE2 bibliographypaid preview
Gergely Orosz · 2026-09-08
The article surveys responses to growing AI-generated review workloads: reviewing AI feedback, routing by blast radius, inspecting plans and tests, reducing patch size, and retaining manual review.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Reported findings / argument. The visible discussion rejects a universal review process. Noise filtering, scope decisions and release responsibility remain important even when review automation increases.
Source type, as recorded: Industry/practitioner publication — reported practitioner analysis
Editorial use. Reported review approaches depend on risk, noise and team context; the article does not validate one universal review policy.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Review capacity and maintainers · AI as reviewer · Automation bias and trust
9 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "What is happening with code reviews?",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Verification & review",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/what-is-happening-with-code-reviews",
"source_url": "https://newsletter.pragmaticengineer.com/p/what-is-happening-with-code-reviews",
"url": "https://newsletter.pragmaticengineer.com/p/what-is-happening-with-code-reviews",
"publication_date": "2026-09-08",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-09-08",
"eligibility_date": "2026-09-08",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "The article surveys responses to growing AI-generated review workloads: reviewing AI feedback, routing by blast radius, inspecting plans and tests, reducing patch size, and retaining manual review.",
"in_short": "The article surveys responses to growing AI-generated review workloads: reviewing AI feedback, routing by blast radius, inspecting plans and tests, reducing patch size, and retaining manual review.",
"summary": "The article surveys responses to growing AI-generated review workloads: reviewing AI feedback, routing by blast radius, inspecting plans and tests, reducing patch size, and retaining manual review.",
"main_findings": "The visible discussion rejects a universal review process. Noise filtering, scope decisions and release responsibility remain important even when review automation increases.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Reported review approaches depend on risk, noise and team context; the article does not validate one universal review policy.",
"evidence_class": "Industry/practitioner publication — reported practitioner analysis",
"reviewed_evidence_class": "Industry/practitioner publication — reported practitioner analysis",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Reported review approaches depend on risk, noise and team context; the article does not validate one universal review policy.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "reported_practitioner_analysis",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C08",
"section_id": "8.1;8.8",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "O001;O019;W093;W096",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "ACTUAL_MAIN_TEXT_AND_APPENDIX_B",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Review practices and workload changes are reported in a restricted article; visible outline does not validate a universal low-risk approval policy.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"book_integration_version": "v5_20261011",
"book_actual_sections": "8.5",
"book_appendix_anchor": "app:orosz-practitioner",
"book_use_access_boundary": "Inspected public passages only; corpus-level full-text restrictions unchanged",
"ndse2_actual_chapters_json": "[\"C:C08\"]",
"ndse2_in_bibliography": true,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P119Pragmatic Engineerpaid preview
Gergely Orosz · 2026-09-15
A company-visit report describes Codex adoption, internal integrations and feedback loops extending into performance work and infrastructure.
Evidence, context & provenance
Evidence boundaryInternal integrations, selected interviewees and unusually permissive token budgets limit transfer to other organizations. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. A company-visit report describes Codex adoption, internal integrations and feedback loops extending into performance work and infrastructure. Its public preview emphasizes harness capabilities and changes in engineering responsibilities.
Reported findings / argument. An unusually integrated environment and effectively unrestricted internal token access limit generalization. Claimed adoption and productivity implications require separate outcome measurement.
Source type, as recorded: Industry/practitioner publication — company case study
Editorial use. A deeply integrated internal software factory is a boundary case, not a representative operating environment.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Human-agent collaboration · Long-running agent execution · Agent context and persistent memory
5 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Inside OpenAI’s agentic software factory",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Engineering structure",
"year": "2026",
"authors": "Gergely Orosz",
"source": "https://newsletter.pragmaticengineer.com/p/openai-software-factory",
"source_url": "https://newsletter.pragmaticengineer.com/p/openai-software-factory",
"url": "https://newsletter.pragmaticengineer.com/p/openai-software-factory",
"publication_date": "2026-09-15",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-09-15",
"eligibility_date": "2026-09-15",
"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
"strict_non_pulse_derived": "true",
"source_platform": "newsletter",
"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "A company-visit report describes Codex adoption, internal integrations and feedback loops extending into performance work and infrastructure.",
"in_short": "A company-visit report describes Codex adoption, internal integrations and feedback loops extending into performance work and infrastructure.",
"summary": "A company-visit report describes Codex adoption, internal integrations and feedback loops extending into performance work and infrastructure. Its public preview emphasizes harness capabilities and changes in engineering responsibilities.",
"main_findings": "An unusually integrated environment and effectively unrestricted internal token access limit generalization. Claimed adoption and productivity implications require separate outcome measurement.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": "Internal integrations, selected interviewees and unusually permissive token budgets limit transfer to other organizations. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "A deeply integrated internal software factory is a boundary case, not a representative operating environment.",
"evidence_class": "Industry/practitioner publication — company case study",
"reviewed_evidence_class": "Industry/practitioner publication — company case study",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "A deeply integrated internal software factory is a boundary case, not a representative operating environment.",
"relevance": "AI_FOR_SE",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "company_case_study",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C11;C03",
"section_id": "11.2;3.6",
"mapping_role": "PROPOSED_EDITORIAL_USE_NOT_MANUSCRIPT_CITATION",
"related_works": "O008",
"shared_source_groups": "",
"provenance": "Audited v3; public-review notes and durable census bundled; no raw subscriber article archive",
"original_url_verified": "Canonical page re-opened; inspection scope and limitations recorded",
"date_accessed": "2026-10-11",
"baseline_provenance": "Add-only overlay on Osmani appendix/index v4; W/O nodes unchanged",
"empirical_replication_status": "NOT_PERFORMED",
"manuscript_citation_status": "NOT_ADDED_TO_MANUSCRIPT",
"publication_curator": "Gergely Orosz",
"author_attribution_note": "Use credited authors and contributor roles as recorded; publication curation does not make Orosz the original author of all guest/excerpted material.",
"secondary_domains": "SE_FOR_AI",
"evidence_origin": "SELECTED_INTERVIEWS_OR_REPORTED_PRACTICE",
"source_review_scope": "Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.",
"underlying_research_check": "NOT_INDEPENDENTLY_AUDITED",
"review_outcome": "RETAINED",
"review_reason": "Seven named interviewees and generous internal tool access characterize a company case, not an independently controlled software-factory benchmark.",
"review_date": "2026-10-11",
"id_allocation_note": "Identifier frozen from the previous catalogue; not renumbered.",
"byline_and_contributors": "Gergely Orosz",
"ndse2_actual_chapters_json": "[]",
"ndse2_in_bibliography": false,
"ndse2_citation_basis": "Final 13.7.1 active EN/ITA source tree; index links and nocite are not chapter citations"
}P120Pragmatic Engineerpaid preview
Gergely Orosz; Ivan Klaric · 2026-09-22
Interviews with Microsoft staff outline agent identity, local MCP discovery, isolation, local-model support and developer experience on Windows.
Evidence, context & provenance
Evidence boundary Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Interviews with Microsoft staff outline agent identity, local MCP discovery, isolation, local-model support and developer experience on Windows. The public portion also compares several differently sampled operating-system surveys.
Reported findings / argument. Agent identity and isolation are distinct from model capability. Survey populations and multiple-choice designs differ; stated platform plans are not independent security evaluations.
Source type, as recorded: Industry/practitioner publication — company interviews and platform report
Editorial use. Windows platform architecture enables AI applications and agents through identity, isolation and discovery. Distinguish roadmap features from deployed capabilities, and architecture from validated security outcomes.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Dependencies and agent supply chain
4 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "How will AI change operating systems? Part 2: Windows",
"kind": "practitioner_article",
"node_class": "CURATED_PRACTITIONER_NOT_PEER_REVIEWED_RESEARCH",
"group": "Engineering structure",
"year": "2026",
"authors": "Gergely Orosz; Ivan Klaric",
"source": "https://newsletter.pragmaticengineer.com/p/windows-and-ai",
"source_url": "https://newsletter.pragmaticengineer.com/p/windows-and-ai",
"url": "https://newsletter.pragmaticengineer.com/p/windows-and-ai",
"publication_date": "2026-09-22",
"publication_date_basis": "Canonical article edition date; earlier identified parent-issue date retained separately",
"original_publication_date": "2026-09-22",
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"series_origin": "NO_PULSE_ORIGIN_IDENTIFIED",
"parent_issue_url": "",
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"source_section": "Deepdives",
"alternate_urls": "",
"alternate_publications_json": "[]",
"contribution": "Interviews with Microsoft staff outline agent identity, local MCP discovery, isolation, local-model support and developer experience on Windows.",
"in_short": "Interviews with Microsoft staff outline agent identity, local MCP discovery, isolation, local-model support and developer experience on Windows.",
"summary": "Interviews with Microsoft staff outline agent identity, local MCP discovery, isolation, local-model support and developer experience on Windows. The public portion also compares several differently sampled operating-system surveys.",
"main_findings": "Agent identity and isolation are distinct from model capability. Survey populations and multiple-choice designs differ; stated platform plans are not independent security evaluations.",
"findings_basis": "Visible arguments, author-reported observations and explicitly labeled outlines; no reconstruction of hidden sections.",
"limitation": " Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.",
"manual_use": "Windows platform architecture enables AI applications and agents through identity, isolation and discovery. Distinguish roadmap features from deployed capabilities, and architecture from validated security outcomes.",
"evidence_class": "Industry/practitioner publication — company interviews and platform report",
"reviewed_evidence_class": "Industry/practitioner publication — company interviews and platform report",
"access_status": "paid_preview",
"access_note": "Public preview/outline only; subscriber remainder not reviewed",
"classification_status": "PROVISIONAL_PUBLIC_PREVIEW_CLASSIFICATION",
"classification_rationale": "Windows platform architecture enables AI applications and agents through identity, isolation and discovery. Distinguish roadmap features from deployed capabilities, and architecture from validated security outcomes.",
"relevance": "SE_FOR_AI",
"peer_review_status": "not_presented_as_peer_reviewed",
"controlled_experiment_status": "not_asserted",
"source_evidence_origin": "company_interviews_and_platform_report",
"full_manuscript_audited": "NO: classification-bearing public passages only; no claim of exhaustive full-text audit",
"method_status": "Editorial classification, not independent-rater or empirical validation",
"chapter_id": "C05;C06",
"section_id": "5.5;6.7",
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"byline_and_contributors": "Gergely Orosz; Ivan Klaric",
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}P121Pragmatic Engineerpaid preview
Gergely Orosz · 2026-09-29
The public preview examines Shopify’s return to native mobile development after previously adopting React Native.
Evidence, context & provenance
Evidence boundaryA selected team’s reported migration does not establish that React Native or cross-platform development is generally obsolete. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. The public preview examines Shopify’s return to native mobile development after previously adopting React Native. It connects AI-assisted implementation with changing performance and code-sharing trade-offs.
Reported findings / argument. Reported migration speed is company-specific; the preview also recognizes that AI can assist native and cross-platform stacks. It does not prove that native development is universally superior.
Source type, as recorded: Industry/practitioner publication — company case study
Editorial use. AI can change platform migration costs, but a single-company account does not establish universal superiority of native development.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Architecture and modularity · Developer workflow and adoption
1 recorded source relationships
- → O007 · Agentic Code Quality
EDITORIAL_COMPARISON_NOT_CITATION · edge e05805 · key P20261011V3:EDITORIAL_COMPARISON_NOT_CITATION:P121:O007
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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"contribution": "The public preview examines Shopify’s return to native mobile development after previously adopting React Native.",
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}P122Pragmatic Engineerpublic article paid extras
Gergely Orosz · 2026-10-06
Orosz synthesizes company visits, interviews and platform data in a keynote about agent-heavy development.
Evidence, context & provenance
Evidence boundaryThe article contains an apparent October 2025/2026 date inconsistency in its PR-volume discussion; do not import those numerical estimates without primary-source checking. The October 2025 phrase still conflicts with the October 2026 publication and August 2026 PR discussion. Keep the author’s numerical extrapolation unresolved rather than silently changing its date. The article explicitly synthesizes earlier P-series reporting. Public availability does not imply an independent check of every paragraph or chart. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Orosz synthesizes company visits, interviews and platform data in a keynote about agent-heavy development. He contrasts changing interfaces and review workloads with the continuing importance of teams, planning and verification.
Reported findings / argument. Reported frontier practices are a directional snapshot, not representative adoption estimates. Increased code volume does not establish increased delivered value.
Source type, as recorded: Industry/practitioner publication — reported industry synthesis
Editorial use. A keynote synthesis summarizes frontier practices and preserves engineering fundamentals; overlapping reporting is not fresh experimental evidence.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public main article available; separate paid supplementary material not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Output versus shipped value · Human-agent collaboration · Independent verification and oracles
6 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
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}P123Pragmatic EngineerIn the published NDSE2 bibliographypaid preview
Gergely Orosz (credited author and moderator); Kent Beck and Martin Fowler (panel participants) · 2026-04-07
Orosz edits a Beck–Fowler panel discussion about AI and earlier technological shifts.
Evidence, context & provenance
Evidence boundaryOnly the public introduction, outline and opening discussion were inspected; the paid remainder was not accessed. Beck and Fowler are participants, not article byline coauthors. The Summit also informs P088, so these articles are not independent event evidence. Subscriber-only article remainder not reviewed. No microdata replication, controlled product test, or independent-rater agreement study was performed.
Recorded summary. Orosz edits a Beck–Fowler panel discussion about AI and earlier technological shifts. The public outline connects adoption, team practice, workload, outcome metrics, testing and craft.
Reported findings / argument. The visible discussion argues for curiosity tempered by skepticism. The outline proposes attention to outcomes, work boundaries and engineering practice; these are participant recommendations, not measured productivity or retention effects.
Source type, as recorded: Industry/practitioner publication — edited panel discussion
Editorial use. Directly addresses using AI in software work, with historical and organizational analogies; maps to shipped value and agile team practices as editorial proposals.
- Review scope
- Retained metadata and editorial mapping review plus durable inclusion/exclusion reconciliation; all hidden text and independent empirical validation remain outside this review.
- Access note
- Public preview/outline only; subscriber remainder not reviewed
- Provenance
- Audited v3; public-review notes and durable census bundled; no raw subscriber article archive
Topics. Developer workflow and adoption · Output versus shipped value · Human cognitive load
3 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
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"summary": "Orosz edits a Beck–Fowler panel discussion about AI and earlier technological shifts. The public outline connects adoption, team practice, workload, outcome metrics, testing and craft.",
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"publication_curator": "Gergely Orosz",
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}P124Pragmatic Engineerpublic text
Gergely Orosz (introduction); Sam Newman (excerpts) · 2026-10-13
Authorized Sam Newman excerpts connect disaster recovery with model changes, provider dependence, evaluation, observability and visible AI costs.
Evidence, context & provenance
Evidence boundaryExpert guidance, not a controlled experiment. Page byline: Gergely Orosz; excerpt author: Sam Newman. The complete book and underlying numerical claims were not audited. No empirical replication or independent-rater validation was performed.
Reported findings / argument. Newman recommends recovery planning, provider flexibility and re-evaluation after model changes; composing several vendor dependencies can itself reduce availability.
Source type, as recorded: Industry/practitioner publication — introduced guest book excerpt
Editorial use. Editorial reading for architecture, independent checks and operational economics; these links are not manuscript citations or validation of NDSE2.
- Review scope
- Primary metadata, attribution, recovery discussion and AI-resilience/cost passages inspected; no hidden text or complete-book audit.
- Access note
- Public main article available; classification-bearing passages reviewed. The complete source book was not reviewed.
- Provenance
- Primary-page and official-archive update, 2026-10-18; no raw source article archive
Topics. Architecture and modularity · Independent verification and oracles · Dependencies and agent supply chain · Economic costs and return
3 recorded source relationships
These retain the graph’s exact relation labels. A connection is not automatically a causal claim or an independent replication.
All preserved graph attributes
{
"label": "Building resilient AI-powered software, and planning for when things go wrong",
"kind": "practitioner_article",
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"manuscript_citation_basis": "Absent from the final published NDSE2 13.7.1 active EN/ITA source tree and loaded bibliography"
}