Code reviews for AI-generated work require more scrutiny than human-written code due to unique failure modes like plausible but incorrect logic and context blindness. Developers must adapt their review practices to maintain quality standards as AI increases code production volume, focusing on detailed spec-based reviews and rigorous testing.
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