Reviewing agent-generated pull requests at scale

Agent-generated pull requests can increase development output faster than review capacity, making it important to preserve rigorous review standards while structuring changes so routine work is easy to verify and higher-risk work reaches appropriate experts. Each pull request should contain one coherent change, clearly explain its purpose and affected files, disclose completed and pending checks, include relevant test or reproduction evidence, and separate mechanical from behavioral changes where possible. Automated checks such as linters, type checks, tests, security scans, and repository-specific policy reviews should identify actionable defects before human review, but cannot replace accountable ownership and approval. Teams can use CODEOWNERS, branch protection, and stricter requirements for sensitive areas such as authentication, billing, deployments, and migrations, while reviewers assess behavior, permissions, compatibility, rollback readiness, and operational evidence. Monitoring metrics including review delays, requested changes, escaped defects, and reverts can reveal recurring problems and help teams improve tests and review guidance without incentivizing pull request volume over reliable merges.

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