The core principle: AI-generated code goes through the same gates as human-written code — nothing less. AI doesn't lower the review bar; if anything, it adds a few new failure modes to watch for. Accountability stays with the engineer who submits it, not the tool that drafted it.
If it wouldn't pass for a human contributor, it doesn't pass because AI wrote it.
The single most important rule: the engineer must understand every line they submit. "The AI wrote it" is never an explanation for a bug in review. If an author can't explain why the code is correct, it isn't ready — regardless of who or what typed it.
AI makes it trivial to produce more code, which means more surface area for bugs and vulnerabilities if the bar slips. Holding generated code to the same standard — and keeping accountability with a named human — is what lets a team move faster with AI without trading away quality or security.