AI Review Pipeline

Problem this solves

AI suggestions are useful but risky without enforceable review and quality gates.

When to use it

• You want AI-generated suggestions before merge.
• You require deterministic checks before deployment.
• You need a repeatable CI/CD review workflow.

Code snippet

# .github/workflows/ai-review.yml
name: AI Review
on:
  pull_request:
    types: [opened, synchronize]

jobs:
  review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm ci
      - run: npm run lint && npm run typecheck && npm test
      - run: npm run ai:review
      - run: npm run quality:gates

Integration guide

1. Run static checks before AI review to remove noise.
2. Constrain AI review scope to changed files and architecture boundaries.
3. Require human approval for high-risk suggestions.
4. Track recurring findings and feed them back into coding standards.