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Developer's 30-Day AI Code Review Experiment Exposes a Critical Blind Spot

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A developer spent 30 days testing a two-agent AI system where one AI wrote code and a separate 'skeptic' AI reviewed it, deliberately keeping humans out of the review loop. Over the experiment, the adversarial reviewer caught 38 of 41 real issues, including duplicate functions, swallowed errors, and a race condition. However, all three missed bugs shared a common pattern: silent data-integrity failures on unhappy paths. The most consequential miss was a Stripe webhook handler that acknowledged payment before writing the database record, meaning a production outage between those two steps would leave a paying customer with no access and no record of payment. A human reviewer caught the flaw in five minutes, underlining that AI peer review, while effective for structural and logic issues, still struggles with subtle real-world failure scenarios.

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Developer's 30-Day AI Code Review Experiment Exposes a Critical Blind Spot · ShortSingh