Study: Giving AI Code Reviewers Full Repo History Can Make Them Less Accurate

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A practical evaluation framework published on DEV Community tests whether AI code review tools perform better or worse when given more repository context. The experiment uses a small Flask application containing a deliberately stale comment that contradicts a valid pull request updating a discount formula from flat to tiered pricing. Reviewers are run under three context conditions — full repo history, diff only, and diff plus the stale comment — using the same neutral prompt each time. Results are scored across four dimensions including functional change detection, stale comment handling, test quality assessment, and hallucination control, out of a maximum 20 points. The exercise, completable in under 90 minutes on a standard laptop with a free API, aims to show that excessive or outdated context can cause AI reviewers to confidently reject correct code rather than improve their feedback.

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