K:Output versus shipped value
Output versus shipped value
Editorial topic mappings connect related questions across sources and book chapters.
SE@PoliMi bibliography 39
- W001 — AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development
Agarwal · 2026 - W003 — The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers
Cui · 2026 - W004 — Speed at the Cost of Quality: How Cursor AI Increases Short-Term Velocity and Long-Term Complexity in Open-Source Projects
He · 2026 - W005 — Early Adoption of Agentic Coding Tools by GitHub Projects
Raida · 2026 - W008 — How Much Does AI Impact Development Speed? An Enterprise-Based Randomized Controlled Trial
Paradis · 2025 - W009 — Productivity Assessment of Neural Code Completion
Ziegler · 2022 - W010 — Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
Demirer · 2026 - W011 — The Productivity-Reliability Paradox: Specification-Driven Governance for AI-Augmented Software Development
Farrag · 2026 - W013 — Quantifying the Expectation-Realisation Gap for Agentic AI Systems
Lobentanzer · 2026 - W014 — Adoption and Impact of Command-Line AI Coding Agents: A Study of Microsoft's Early 2026 Rollout of Claude Code and GitHub Copilot CLI
Murphy-Hill · 2026 - W016 — The Impact of AI Coding Assistants on Software Engineering: A Longitudinal Study
Vella · 2026 - W017 — Randomized Controlled Trials for Conditional Access Optimization Agent
Bono · 2025 - W018 — Intuition to Evidence: Measuring AI's True Impact on Developer Productivity
Kumar · 2025 - W019 — Generative AI and labour productivity: a field experiment on coding
Gambacorta · 2024 - W020 — Measuring the Self-Reported Impact of Early-2026 AI on Technical Worker Productivity
Becker · 2026 - W021 — The AI Engineering Report 2026: The Acceleration Whiplash
Faros AI · 2026 - W023 — Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity
Becker · 2025 - W024 — 2025 State of AI-Assisted Software Development
Google Cloud DORA · 2025 - W025 — Estimating AI productivity gains from Claude conversations
Tamkin · 2025 - W026 — Accelerate State of DevOps Report 2024
Google Cloud DORA · 2024 - W027 — Beyond the Copilot: Scaling the Agentic Product Development Life Cycle
Relyea · 2026 - W033 — How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests
Ogenrwot · 2026 - W044 — An Empirical Study of Code Clones from Commercial AI Code Generators
Wu · 2025 - W051 — From Conversation to Contribution: Characterizing Coding Agent in Open-Source Software
Fang · 2026 - W055 — Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild
Liu · 2026 - W059 — AI-Generated Smells: An Analysis of Code and Architecture in LLM- and Agent-Driven Development
Zhu · 2026 - W084 — Self-Preference Bias in LLM-as-a-Judge
Wataoka · 2024 - W108 — Do LLM Evaluators Prefer Themselves for a Reason?
Chen · 2025 - W117 — The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading
Caosun · 2026 - W118 — How AI Impacts Skill Formation
Shen · 2026 - W124 — Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives
Baslandze · 2026 - W145 — ROI of AI-Assisted Software Development
DORA · 2026 - W146 — McKinsey Technology Trends Outlook 2026
Chui · 2026 - W163 — A Case Study of Onboarding in Software Teams: Tasks and Strategies
Ju · 2021 - W177 — Stuck and Frustrated or in Flow and Happy: Sensing Developers' Emotions and Progress
Müller · 2015 - W182 — Don't Touch My Code! Examining the Effects of Ownership on Software Quality
Bird · 2011 - W185 — Succession: Measuring Transfer of Code and Developer Productivity
Mockus · 2009 - W187 — Globalization by Chunking: A Quantitative Approach
Mockus · 2001 - W188 — The Ramp-Up Problem in Software Projects: A Case Study of How Software Immigrants Naturalize
Sim · 1998
Addy Osmani 4
- O029 — The reality of AI-Assisted software engineering productivity
Addy Osmani · 2025-08-16 - O042 — Beyond the 70%: Maximizing the human 30% of AI-assisted coding
Addy Osmani · 2025-03-13 - O049 — The 70% problem: Hard truths about AI-assisted coding
Addy Osmani · 2024-12-04 - O050 — User-centric engineering.
Addy Osmani · 2024-11-15
The Pragmatic Engineer 14
- P013 — How Shopify Built Its Live Globe for Black Friday
Gergely Orosz · 2024-12-17 - P014 — How AI-assisted coding will change software engineering: hard truths
Gergely Orosz; Addy Osmani · 2025-01-05 - P031 — What is Growth Engineering?
Gergely Orosz; Alexey Komissarouk · 2025-03-20 - P038 — What’s Changed in 50 Years of Computing: Part 4
Gergely Orosz · 2025-05-06 - P048 — Software engineering with LLMs in 2025: reality check
Gergely Orosz · 2025-07-01 - P061 — How tech companies measure the impact of AI on software development
Gergely Orosz; Laura Tacho · 2025-09-16 - P078 — Frictionless: why great developer experience can help teams win in the ‘AI age’
Gergely Orosz (introduction/interview); Nicole Forsgren; Abi Noda (excerpts) · 2025-12-10 - P084 — I replaced a $120/year micro-SaaS in 20 minutes with LLM-generated code
Gergely Orosz · 2026-01-29 - P091 — Are AI agents actually slowing us down?
Gergely Orosz · 2026-03-17 - P100 — Revisiting “No Silver Bullets” in the age of AI
Gergely Orosz · 2026-05-12 - P107 — Slow down to speed up: so much has changed in 6 months’ time
Gergely Orosz · 2026-06-23 - P112 — How building software is changing at Anthropic
Gergely Orosz · 2026-07-28 - P122 — The state of the tech industry in 2026
Gergely Orosz · 2026-10-06 - P123 — Cycles of disruption in the tech industry: with software pioneers Kent Beck & Martin Fowler
Gergely Orosz (credited author and moderator); Kent Beck and Martin Fowler (panel participants) · 2026-04-07
Martin Fowler’s website 1
- F020 — Partner with the AI, throw away the code
Matteo Vaccari · 2025-07-31
Earlier Non-Deterministic books 13
- 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 · - 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 ·