Tiered automated pull-request review pipeline that only escalates risky changes to humans
A staged review funnel for teams drowning in AI-generated pull requests: a team-owned review skill applies the team's minimum review standards, a lightweight classifier scores complexity and risk, an automated reviewer runs a full pass, and only changes that fail any stage go to a human. Safe PRs merge on their own; failures feed back into improving the skill or the reviewer.
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From AI Engineer — I Made a Fruit Fly Review My Code - Nick Nisi, WorkOS at 12:33
Problem: The human code reviewer has become the bottleneck: code and PRs are generated faster than ever while review still waits on one person, and most of what a human checks (conditionals, removed logic, simple issues) machines already catch. The only thing machines miss is the why behind a change, so humans should only see what needs that judgment.
For: Engineering teams whose AI coding agents produce more pull requests than human reviewers can process
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Examples
- WorkOS's DX team could use a code-owners-tagged team review skill as the first escalation gate.
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