T:Economics
Economics
Current source memberships across the atlas. A source can address more than one stream.
SE@PoliMi bibliography 22
- W003 — The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers
Cui · 2026 - W010 — Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
Demirer · 2026 - W019 — Generative AI and labour productivity: a field experiment on coding
Gambacorta · 2024 - W025 — Estimating AI productivity gains from Claude conversations
Tamkin · 2025 - W028 — The AI Revolution in Software Development
Relyea · 2026 - W095 — Beyond Code Generation: Reliability, Verification, and Cost Economics in the Agentic Software Development Lifecycle
Bhati · 2026 - W117 — The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading
Caosun · 2026 - W124 — Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives
Baslandze · 2026 - W125 — Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence
Brynjolfsson · 2026 - W126 — How Does AI Change Labor Demand? Evidence from 41 Countries
Chandar · 2026 - W128 — Labor Market Consequences of Generative AI: Early Evidence from Norway
Facius · 2026 - W129 — AI Has Not Impacted the Youth Labor Market in Finland
Kauhanen · 2026 - W130 — A New Look at AI's Impact on Jobs: Firm-Level AI Spending and Workforce Adjustment
Kharazian · 2026 - W131 — The Broken Ladder: AI, Remote Work, and Early-Career Hiring
Lambert · 2026 - W133 — Firm Data on AI
Yotzov · 2026 - W134 — Artificial Intelligence and the Labor Market
Hampole · 2025 - W135 — Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Résumé and Job Posting Data
Hosseini · 2025 - W136 — Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI
Humlum · 2025 - W141 — Google's AI & Economy ATLAS v1.0: Mapping Gemini Usage in the Economy
Iscenko · 2026 - W142 — AI Is Probably Not (Yet) the Reason for Labor Market Weakening
Nunn · 2026 - W145 — ROI of AI-Assisted Software Development
DORA · 2026 - W146 — McKinsey Technology Trends Outlook 2026
Chui · 2026
Addy Osmani 3
- O008 — Software Factories, Light and Dark
Addy Osmani · 2026-07-22 - O029 — The reality of AI-Assisted software engineering productivity
Addy Osmani · 2025-08-16 - O045 — Personal Software: The Unbundling of the Programmer?
Addy Osmani · 2025-02-09
The Pragmatic Engineer 19
- P003 — State of the software engineering job market in 2024
Gergely Orosz · 2024-10-22 - P007 — Hiring software engineers and engineering leaders from Big Tech (Part 2)
Gergely Orosz · 2024-11-19 - P019 — Microsoft’s developer tools roots
Gergely Orosz · 2025-01-21 - P025 — State of the startup and scaleup hiring markets in 2025 – as seen by recruiters
Gergely Orosz · 2025-02-18 - P026 — Software engineering job openings hit five-year low?
Gergely Orosz · 2025-02-20 - P028 — Trimodal Nature of Tech Compensation in the US, UK and India
Gergely Orosz · 2025-03-04 - P057 — Creative ways to fund open source projects
Gergely Orosz · 2025-08-21 - P059 — State of the software engineering job market in 2025, part 1, what the data says
Gergely Orosz · 2025-09-02 - P061 — How tech companies measure the impact of AI on software development
Gergely Orosz; Laura Tacho · 2025-09-16 - P068 — San Francisco is back as the world’s leading tech hub
Gergely Orosz · 2025-10-28 - P076 — Downdetector and the real cost of no upstream dependencies
Gergely Orosz · 2025-12-05 - P084 — I replaced a $120/year micro-SaaS in 20 minutes with LLM-generated code
Gergely Orosz · 2026-01-29 - P094 — What is inference engineering? Deepdive
Gergely Orosz (introduction); Philip Kiely (guest excerpt) · 2026-03-31 - P095 — The impact of AI on software engineers in 2026: key trends. Part 1
Gergely Orosz; Elin Nilsson · 2026-04-14 - P098 — Designing Data-Intensive Applications: The Cloud & Doing the Right Thing
Gergely Orosz (introduction); Martin Kleppmann; Chris Riccomini (excerpts) · 2026-05-05 - P102 — State of the software engineering job market in 2026
Gergely Orosz; Jessica Salmon · 2026-05-26 - P104 — State of the software engineering job market in 2026, part 2
Gergely Orosz; Jessica Salmon · 2026-06-09 - P111 — Pushing software engineering limits with “napkin math”
Gergely Orosz · 2026-07-21 - P124 — Building resilient AI-powered software, and planning for when things go wrong
Gergely Orosz (introduction); Sam Newman (excerpts) · 2026-10-13
Martin Fowler’s website 5
- F020 — Partner with the AI, throw away the code
Matteo Vaccari · 2025-07-31 - F028 — Viability of local models for coding
Birgitta Böckeler · 2026-07-07 - F030 — The Economic Benefit of Refactoring
Giles Edwards-Alexander · 2026-07-30 - F031 — TDD inside the agent loop - theater or actual value?
Birgitta Böckeler · 2026-08-10 - F033 — Are Harnesses Worth the Cost?
Naresh Jain · 2026-10-13
Earlier Non-Deterministic books 14
- B003 — Summary
Enrico Papalini · - B009 — Measuring What Matters---The Data Behind AI's Real Impact
Enrico Papalini · - B016 — PART IV: Organizational Foundation
Enrico Papalini · - B029 — Measurement \& Observability
Enrico Papalini · - B033 — Expert Insights
Enrico Papalini · - B035 — AI Adoption in the European Union
Enrico Papalini · - B062 — Autonomous Execution: Modes, Budgets, and Governance
Enrico Papalini · - B096 — Safety, Security, and Risk Management
Enrico Papalini · - B099 — Troubleshooting and Debugging
Enrico Papalini · - B103 — Summary
Enrico Papalini · - B106 — The Economics of Loop Engineering
Enrico Papalini · - B108 — Building a Full Local AI Loop
Enrico Papalini · - B109 — Choosing the Right Loop
Enrico Papalini · - B110 — References — 85 voci bibliografiche
Enrico Papalini ·