AI Code Reviews
Part of the Vibe Coding: Multi-Agent Engineering course
In the last lesson you drove a small feature through a planner, a developer, and a reviewer, and you saw why the reviewer has to be a separate agent. This lesson makes that reviewer a real discipline. A code review is one agent reading another agent's work to catch what is wrong before it becomes part of the product, and it is the single highest-leverage quality habit a team has.
The review process is the path every change takes from proposed to accepted. A developer agent finishes a piece of work and proposes it. Before that work counts, a reviewer agent reads it and reports back. Only after the review is clean does the change get merged, which means folded into the real product where customers will use it. The rule that makes this work is short: nothing merges unreviewed. ...
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Start this lessonAI Code ReviewsWhat you'll learn
- The review process: how a change goes from proposed to reviewed to merged, and why nothing merges unreviewed
- Why the reviewer must be a different agent from the author, so it reads with fresh eyes
- Quality checks: whether the work meets the requirement, is clear, and has nothing missing or broken
- Refactoring: improving the structure of working code without changing what it does
- Security reviews: flagging unsafe patterns such as trusting user input without checking it
- Acting on findings as the leader, deciding what to fix without reading the code line by line
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All lessons in this course
12 lessons- 1Thinking Like an Engineering Leader20 min
- 2Creating Specialized AI Agents20 min
- 3Giving Every Agent a Role20 min
- 4Managing AI Collaboration30 min
- 5AI Code Reviews30 min
- 6AI Project Management20 min
- 7AI DevOps30 min
- 8AI Security Teams30 min
- 9AI Operations30 min
- 10Building Your Own AI Workflow20 min
- 11Scaling AI Teams20 min
- 12Becoming an AI Engineering Leader45 min
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