TLDR Tech / Opinion
AI Explores Code Review Patterns
The author experimented with AI agents to analyze past pull requests, seeking to understand a team's code review habits and standards. A simulated automated check indicated that over half of pull requests would have failed a basic mechanical test. However, the simulation also suggested that most issues not flagged by this check did not lead to subsequent bugs. The conclusion is that straightforward automated checks are efficient, but significant decisions typically require collective team agreement instead of individual reviewer discretion.
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