How an AI Code Review Bot Failed and What One Platform Team Learned

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A platform team built an AI code review bot targeting 8,000 monthly pull requests, hoping to cut PR cycle time from 2.5 days to 1 day and reduce iteration commits. Instead, the bot added roughly half a day to review cycles because developers spent time reading suggestions only to discard most of them. By day 60, developer engagement in the test group had fallen to single digits, with over 65% of surveyed developers saying the tool did not help them. Performance varied sharply across programming languages, with Java and Python faring best and Swift and BrightScript performing worst, eroding cross-team trust. The team ultimately shut the project down, concluding that noisy, untrustworthy automation actively harms workflows rather than simply failing to improve them.

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