The Problem With Using AI to Review AI-Written Code
Reviewing AI-Generated Code With More AI Doesn’t Work
From the series: The Industrialization of Software Engineering
The last essay in this series ended with a question. If review confidence is drifting away from actual risk, does testing pick up the slack, or does something else have to replace the review gate entirely?
The industry’s answer, mostly, is to automate the gate. Route low-risk changes through CI (continuous integration) checks. Save human attention for the changes that cross a defined threshold. That’s a real improvement over waiting days for a colleague to find time. It’s also not the whole fix.
A second answer has grown fast alongside it: have AI review the AI. Tools like Sonar’s Gitar, CodeRabbit, and Cursor’s Bugbot now read a pull request with full repo context, flag or fix what they find, validate the fix against CI, and escalate to a human only when something’s genuinely...
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