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Code review as a gate, with approval set by risk
When agents produce changes faster than people can read them, review becomes the bottleneck. AI-native teams respond by making automated review a pipeline gate and setting who approves by how much damage a path can do. This lesson covers that design, the rules that never move, and how to answer review questions with it.
What you'll be able to do
- Explain why automated review works as a pipeline gate, and why its findings must be verified before a person sees them
- Design risk tiers for a codebase and say who approves at each tier
- List the rules that stay fixed however much is automated, and defend each one
- Answer "PR volume doubled, reviewers are drowning" and "would you let an AI approve code?" with a design, not a slogan
Before this: the-delivery-loop
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When agents produce changes faster than people can read them, review becomes the bottleneck. AI-native teams respond by making automated review a pipeline gate and setting who approves by how much damage a path can do. This lesson covers that design, the rules that never move, and how to answer review questions with it. This walkthrough runs about 14 minutes, with runnable code you can edit and re-run as you read. A new account gets 7 days of Pro free, no card required.
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