Your AI Agent's Pull Request Looks Clean. That's the Problem
A pull request got approved in under two minutes a few weeks back. Late afternoon, the kind of PR that shows up in a Slack notification while you're already thinking about the next thing. Fourteen files, a retry wrapper around an HTTP client, a small refactor to an error handler, one new dependency. Clean diff, clear commit message, thumbs up, done.
Nobody in that exchange could have told you why the backoff strategy was shaped the way it was, or why that particular dependency won out over three others that do roughly the same job. The code was AI-generated, lightly prompted, quickly accepted. It looked like every other PR that reviewer had approved that week. Nothing about it said: ask more questions here.
That's the part I think gets underweighted in most of the AI-assisted-development conversation. It's not that the model writes bad code. Most of the time it doesn't....
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