Studies: AI agents write more code but do not speed up delivery
A Harvard study found that AI coding agents write 30 percent more code but do not resolve more issues. A study covering 700,000 developers at 718 software companies found no increase in development speed or efficiency, and no significant improvement in Jira data.
Who is affected and how
- CTO
- Code volume is not a productivity metric, so the return on AI adoption should be measured by delivery and defect metrics.
- tech lead
- Team metrics should include closed issues and delivery time, not lines of code.
- senior developer
- The extra code also has to be reviewed, so the review burden may grow.
Sources
- AI Coding Agents Lift Code Output, but Jira Gains Lack Significancetokenpost · Oct 9, 2026
- AI Coding Agents Lift Code Output, but Jira Gains Lack Significance | TokenPosttokenpost.com · Oct 9, 2026
- AI Coding Agents Write 30% More Code – and Resolve Zero Additional Issues, Harvard Study Findsforkast news · Oct 11, 2026
- Harvard study finds AI coding agents boost code output but not issue resolutionaiunderstanding.org · Oct 11, 2026
- Revealed: using artificial intelligence does not increase development speed or efficiency at allprog.hu · Oct 10, 2026 · magyar
- AI code generators write more code, but don't speed up software developmentaiforradalom.hu · Oct 10, 2026 · magyar
Machine-generated summary based on the titles and excerpts of the source articles. The facts come from the linked article.