AI Boosts Developer Output but Worsens Code Quality and Review Backlogs

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Enterprise AI adoption in 2025 is producing a troubling paradox: while developers are completing more tasks and merging nearly twice as many pull requests, code review times have surged by 91% and average pull request size has grown by 154%, according to a Faros AI study of over 10,000 developers. Despite these individual productivity gains, key software delivery metrics such as deployment frequency and change failure rates showed no measurable improvement. An Atlassian survey of 3,500 developers found that teams gaining time from AI tools simultaneously reported greater organizational inefficiencies than before. Developer trust in AI tools also fell sharply, dropping 11 percentage points to just 29% in 2025, even as usage climbed to 84%. Analysts point to a structural mismatch: AI accelerates code generation but leaves the real bottleneck — human code review and approval — completely unaddressed.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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