K:Review capacity and maintainers
Review capacity and maintainers
Editorial topic mappings connect related questions across sources and book chapters.
SE@PoliMi bibliography 29
- W018 — Intuition to Evidence: Measuring AI's True Impact on Developer Productivity
Kumar · 2025 - W023 — Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity
Becker · 2025 - W031 — More Code, Less Reuse: Investigating Code Quality and Reviewer Sentiment towards AI-generated Pull Requests
Huang · 2026 - W063 — An Endless Stream of AI Slop: How Developers Discuss the Burden of AI-Assisted Software Development
Baltes · 2026 - W064 — Studying Quality Improvements Recommended via Manual and Automated Code Review
Crupi · 2026 - W066 — Evaluating the Impact of Explainable AI on Trust in AI-Assisted Code Review
Gao · 2026 - W072 — AI-to-AI Code Reviews of GitHub Pull Requests
Selvanayagam · 2026 - W073 — The Effect of Complexity and Provenance on Code Review Decisions: Evidence from a Controlled Experiment
Singh · 2026 - W074 — RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian
Tantithamthavorn · 2026 - W076 — SWR-Bench: Assessing LLM Performance in Real-World Code Review Comment Generation
Zeng · 2026 - W078 — Beyond the Surface: Measuring Self-Preference in LLM Judgments
Chen · 2025 - W081 — Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?
Tufano · 2025 - W086 — Quality Evaluation of Modern Code Reviews Through Intelligent Biometric Program Comprehension
Hijazi · 2023 - W087 — Do as AI say: susceptibility in deployment of clinical decision-aids
Gaube · 2021 - W088 — Trustworthiness Perceptions in Code Review: An Eye-tracking Study
Bertram · 2020 - W090 — Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise
Floyd · 2017 - W093 — Automating Low-Risk Code Review at Meta: RADAR, Risk Calibration, and Review Efficiency
Adams · 2026 - W096 — Go Home Copilot, You're Drunk: Understanding Developer Responses to Agent-Generated Code Review Comments
Cynthia · 2026 - W098 — Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild
Lin · 2026 - W099 — From Code Review to Code Critique: Intent, Drift, and Spotlight for AI-Generated Diffs at Scale
Maddila · 2026 - W100 — The End of Code Review: Coding Agents Supersede Human Inspection
Monperrus · 2026 - W102 — Cross-Model LLM Code Review: Should You Use Claude to Review Codex or Vice Versa?
Xiang · 2026 - W103 — An Eye for Trust: An Exploration of Developers' Trust Perceptions Through Urgency and Reputation
Yabesi · 2026 - W105 — Beyond Lexical Metrics: Sentence-Embedding Detection of Reviewer Habituation in AI Code Review
Yu · 2026 - W106 — Code Review Agent Benchmark (c-CRAB)
Zhang · 2026 - W107 — Human-AI Synergy in Agentic Code Review
Zhong · 2026 - W111 — Many SWE-bench-Passing PRs Would Not Be Merged into Main
Whitfill · 2026 - W112 — Novice Developers Produce Larger Review Overhead for Project Maintainers while Vibe Coding
Asdaque · 2026 - W191 — Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
Ehsani · 2026
Addy Osmani 5
- O001 — The Code Nobody Reads
Addy Osmani · 2026-09-28 - O007 — Agentic Code Quality
Addy Osmani · 2026-08-08 - O011 — Agentic Code Review
Addy Osmani · 2026-06-16 - O019 — Code Review in the Age of AI
Addy Osmani · 2026-01-05 - O033 — The "Trust, But Verify" Pattern For AI-Assisted Engineering
Addy Osmani · 2025-06-09
The Pragmatic Engineer 4
- P057 — Creative ways to fund open source projects
Gergely Orosz · 2025-08-21 - P091 — Are AI agents actually slowing us down?
Gergely Orosz · 2026-03-17 - P107 — Slow down to speed up: so much has changed in 6 months’ time
Gergely Orosz · 2026-06-23 - P118 — What is happening with code reviews?
Gergely Orosz · 2026-09-08
Martin Fowler’s website 1
- F011 — Expanding the solution size with multi-file editing
Birgitta Böckeler · 2024-11-19
Earlier Non-Deterministic books 22
- B007 — New Workflows for the AI Era
Enrico Papalini · - B008 — The Quality Crisis (And How to Prevent It)
Enrico Papalini · - B014 — PART II: Quality Assurance
Enrico Papalini · - B015 — PART III: Team Workflows
Enrico Papalini · - B018 — Antipatterns: What Not to Do
Enrico Papalini · - B025 — From Single Agent to Multi-Agent Workflows
Enrico Papalini · - B030 — Common Pitfalls to Avoid
Enrico Papalini · - B032 — Quick Reference Guides
Enrico Papalini · - B034 — Implementation Guide and Solutions
Enrico Papalini · - B041 — The Integration
Enrico Papalini · - B042 — Advanced Patterns
Enrico Papalini · - B055 — The Agentic Orchestrators: BMAD Method and AI-RPI Protocol
Enrico Papalini · - B060 — The Agent Pipeline and Gates
Enrico Papalini · - B063 — Advanced Patterns: From Frameworks to Practice
Enrico Papalini · - B073 — BMAD Method
Enrico Papalini · - B074 — AI-RPI Protocol
Enrico Papalini · - B085 — The Continuous Development Revolution
Enrico Papalini · - B093 — Agentic Patterns in Practice
Enrico Papalini · - B095 — Multi-Agent Orchestration
Enrico Papalini · - B096 — Safety, Security, and Risk Management
Enrico Papalini · - B105 — The Organization Becomes a Loop
Enrico Papalini · - B109 — Choosing the Right Loop
Enrico Papalini ·
Software Engineering Practices 15
- PAT:003 — Background Agent CI
- PAT:009 — CI-as-Backpressure
- PAT:010 — Inference-Healed Code Review
- PAT:019 — Subagent Spawning and Fan-Out
- PAT:022 — Trust Calibration
- PAT:031 — Worktrees: Isolate the Write Domains
- PAT:032 — Multi-Loop Coordination: One Owner per Target
- PAT:035 — Daily Triage: rank the rare urgent item
- PAT:039 — PR babysitter
- PAT:052 — Review Gauntlet
- PAT:056 — Parallel Work Orchestration
- PAT:057 — Structured Enablement Program
- PAT:074 — Anti-Sycophancy Enforcement
- PAT:075 — Convergence Review
- PAT:084 — Escalation Protocol