Lesson 688 of 1596
AI Code Review Policies: Where Humans Stay in the Loop
AI-augmented code review accelerates teams. The policies around what AI flags vs what humans must review separate good teams from sloppy ones.
Creators · AI-Assisted Coding · ~24 min read
The premise
AI code review accelerates without reducing quality if policies define what AI handles vs what humans must judge.
What AI does well here
- Use AI for first-pass review (style, common bugs, security patterns)
- Require human review for: architectural changes, security-sensitive code, novel patterns
- Document override patterns — when humans disagree with AI, capture why
- Calibrate AI strictness to team standards, not industry defaults
What AI cannot do
- Substitute AI review for senior engineer judgment on high-stakes changes
- Replace the team-conversation aspect of code review
- Make code quality a pure AI problem
Key terms in this lesson
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