The review gate opens when the tests are green. Those tests were written by the same AI, in the same session, with the implementation in context — so they agree with the code instead of the requirement. Here’s how to tell, and what actually fixes it.
A shared skill and a team plugin make everyone fast. That’s the problem this post is about: when AI writes the code and a human clicks approve, who actually understood it? Two review gates — an automated one and a human one — keep the developer, not the AI, accountable.
Claude Code can do a thorough first pass on your .NET pull requests — catching null references, missing validation, and inconsistent patterns before a human reviewer even opens the PR.