AI 산출물을 믿어도 되게 만드는 법: QA가 담금질한 하네스와 품질 게이트 | AI-DLC
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AI outputs can't be trusted via human approval alone — you need code-enforced quality gates in a harness that blocks bad outputs early, built with adversarial review, isolation, and diversity of perspective.