AI models confidently produce subtly wrong code — off-by-one errors, missed edge cases, security holes — that only a human reviewer reliably catches before it ships.

For low-stakes, well-tested code paths, mandatory human review is theater that slows teams down without meaningfully improving quality over automated test coverage.