AI-generated pull requests wait up to 5x longer for review, reports find

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Data from LinearB's 2026 benchmarks report, covering over 8.1 million pull requests across 4,800 organisations, found that AI-generated pull requests wait 4.6 times longer before a reviewer picks them up, though they are reviewed twice as fast once someone does. A separate Faros AI report found that teams with high AI adoption merge 98% more pull requests but see review times increase by 91%. GitHub reported in October 2025 that its coding agent contributes to roughly 1.2 million pull requests per month, highlighting the scale of the bottleneck. A key technical complication is that different AI agents — including GitHub Copilot, Claude, Cursor, and Devin — open pull requests under different accounts or bot identities, meaning no single inbox filter captures all of them. Engineers are advised to use labels or repo-wide views to ensure AI-generated pull requests are not overlooked in review queues.

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