The Never‑Ending AI Code Review: Why One Pass Isn’t Enough
SMRTR summary
Due to probabilistic output and an "anchoring effect," each AI review pass latches onto different issues while missing others — meaning a single pass catches less than half of real bugs. Research confirms that running 10 passes and merging results boosts bug detection by 118%. The fix is a structured, modular approach: splitting code by function and running focused, fresh-session reviews per module.
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