Automated AI pull request review on GitHub

Automated AI pull request review with gh-aw means running an agent on each pull request update so it can inspect the diff, identify likely defects, and return review feedback in GitHub-native review surfaces. The workflow keeps the agent read-only and uses safe outputs for the review summary and inline comments.

Install the starter with gh aw add-wizard githubnext/agentics/pr-review.

---
on:
  pull_request:
    types: [opened, synchronize]

permissions:
  contents: read
  pull-requests: read

safe-outputs:
  add-comment:
    max: 1
  create-pull-request-review-comment:
    max: 10
  submit-pull-request-review:
    allowed-events: [COMMENT]
---

# Pull Request Review Assistant

Review the pull request diff for correctness, security, maintainability, and test coverage.

Create inline review comments only for specific problems or concrete improvements. Add one summary comment that groups findings by severity and notes anything that needs human follow-up. Do not restate unchanged code or provide style-only feedback.

This pattern uses add-comment for the summary and create-pull-request-review-comment for inline findings. Both are safe outputs, so the agent cannot write directly to the pull request; gh-aw validates the review payload before posting it.

Automated AI pull request review on GitHub

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