We dig into the counterintuitive reality of AI-assisted development: when code generation speeds up writing, it often slows down reviewing. We examine how one major platform team flipped their process by treating generated code as first-class contributors rather than disposable drafts. You will learn why strict review discipline is now more valuable than raw output volume, and how to audit AI-generated commits for security and style drift without drowning in noise.

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