Why AI PR review time claims like Atlassian's 45% may not apply to your team

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Vendors like Atlassian cite impressive figures — such as a 45% reduction in pull request cycle time using their Rovo tool — but these are self-reported metrics with no control groups or reproducible methodology. A DEV Community analysis warns that aggregate averages can be misleading, as AI tools often speed up small, simple PRs while larger, complex changes remain slow or get slower. Teams are advised to measure their own before-and-after results using a fixed time window, the same reviewer pool, and comparisons split by PR size and risk level. Tracking tail metrics like p90 and p95 cycle times is recommended over relying solely on mean figures, which can mask regressions. Reviewer workload is another overlooked factor — if engineers spend more time reading AI-generated comments than they saved on reviews, the cycle-time improvement is effectively illusory.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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