AI Code Review in Regulated Environments: What a Human Expert Still Has to Own
A landmark study of 1,689 Copilot-generated programs found 40% contained vulnerabilities. Every one of those PRs almost certainly had a human's name on the approval.
That's the part of "human in the loop" nobody likes to examine too closely. A name on a PR isn't proof that judgment happened. It's proof someone clicked approve.
I've sat on both sides of that approval button enough times to know how easy it is to convince yourself you reviewed something when what you actually did was skim it.
What AI code review is genuinely good at
Worth saying plainly: automated review tools catch real problems, fast, at a scale no human review queue can match. Pattern-matching against known vulnerability classes, style consistency, common bug signatures - this is exactly the kind of deterministic, high-volume work AI does better than a tired reviewer on their fourth PR of the afternoon. Teams that use it...
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