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AI coding agents increase code output while review slows software delivery

arstechnica.com 4 min read Editor score 7/10

A study across hundreds of firms finds that longer reviews and more pull-request revisions absorb coding-phase efficiency gains, with little evidence of higher software output or lower employment. Teams adopting coding agents should account for review capacity as a production constraint.

What

A study of engineering firms examined how introducing AI coding assistants and agents affects software development work.

How

After AI agents were introduced, code lines rose 30%, commits 20% and pull requests 23% on average; review time rose 49%, while issue resolution did not change significantly.

Why it matters

The findings show that faster code generation can shift pressure to review, so engineering teams should account for downstream delivery constraints.

Read on arstechnica.com → Hacker News · 278 comments

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