Your teammate used Claude to generate a new API endpoint. The code looks great — clean formatting, proper error handling, even comments. You skim through it, see it follows conventions, CI is green. You approve.
Two weeks later, the endpoint silently drops a decimal place on currency conversions. A financial report is wrong for three days before anyone notices.
This scenario is playing out in hundreds of teams right now. Not because AI generates "bad code" — but because AI-generated code fails in ways human code doesn't, and your existing review process wasn't designed for it.
The Problem With Reviewing AI Code
AI doesn't flag uncertainty. It presents everything with equal confidence. A human developer might write // not sure about the caching here — that nervous comment tells you exactly where to look. AI never writes that comment. It writes // Transform the input to match the expected schema with full confidence, even when the transformation is wrong.
