Continuous integration with AI-powered code review catches bugs before they reach production. Here's how to build a GitHub Actions workflow that runs Claude-powered analysis on every pull request. Why AI Code Review in CI? Traditional CI catches syntax errors and test failures. AI code review catches: Logic bugs Security vulnerabilities Performance issues Code quality problems Documentation gaps The GitHub Actions Workflow `yaml .github/workflows/ai-review.yml name: AI Code Review on: pull_request: types: [opened, synchronize, reopened] jobs: ai-review: runs-on: ubuntu-latest permissions: pull-requests: write contents: read steps: name: Checkout code uses: actions/checkout@v4 with: fetch-depth: 0 name: Get PR diff id: diff run: | git diff origin/${{ github.baseref }}...HEAD > prdiff.txt echo "diffsize=$(wc -c < prdiff.txt)" >> $GITHUB_OUTPUT echo "fileschanged=$(git diff --name-only origin/${{ github.baseref }}...HEAD | wc -l)" >> $GITHUB_OUTPUT name: Run AI Code Review if:…