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Merge pull request #7 from 1broseidon/claude/phase-4-real-world-examples-011CUxhL2yfFq2TjcFeWc2nv
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‎examples/ci-code-review/.github/workflows/ai-review.yml‎

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# AI-Powered Code Review Workflow
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#
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# This workflow runs on every pull request to automatically extract code context
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# and prepare it for AI review. You can extend this to automatically post review
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# comments by integrating with an AI API (Claude, GPT, etc.)
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#
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# Setup:
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# 1. Copy this file to your repo's .github/workflows/ directory
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# 2. (Optional) Add ANTHROPIC_API_KEY or OPENAI_API_KEY to repository secrets
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# 3. Customize token budget and review guidelines as needed
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name: AI Code Review
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on:
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pull_request:
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types: [opened, synchronize, reopened]
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# Optionally limit to specific branches
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# branches: [main, develop]
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# Allow manual triggers for testing
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workflow_dispatch:
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inputs:
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pr_number:
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description: 'PR number to review'
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required: true
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jobs:
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extract-context:
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name: Extract PR Context
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runs-on: ubuntu-latest
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steps:
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# Checkout code with full history for proper diffs
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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fetch-depth: 0 # Need full history to compare branches
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ref: ${{ github.event.pull_request.head.sha }}
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# Setup Go environment
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- name: Setup Go
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uses: actions/setup-go@v4
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with:
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go-version: '1.22'
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cache: true
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# Install promptext
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- name: Install promptext
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run: |
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go install github.com/1broseidon/promptext/cmd/promptext@latest
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# Extract PR context using the example tool
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- name: Extract PR Context
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env:
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PR_NUMBER: ${{ github.event.pull_request.number || github.event.inputs.pr_number }}
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PR_TITLE: ${{ github.event.pull_request.title }}
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PR_AUTHOR: ${{ github.event.pull_request.user.login }}
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BASE_BRANCH: ${{ github.event.pull_request.base.ref || 'main' }}
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run: |
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# Ensure base branch exists
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git fetch origin $BASE_BRANCH:$BASE_BRANCH || true
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# Run the context extractor
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cd examples/ci-code-review
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go run main.go
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# Show summary
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echo "## 📊 Review Context Summary" >> $GITHUB_STEP_SUMMARY
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echo "" >> $GITHUB_STEP_SUMMARY
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echo "- **Token Count**: $(jq -r '.token_count' pr-review-metadata.json)" >> $GITHUB_STEP_SUMMARY
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echo "- **Files Analyzed**: $(jq -r '.file_count' pr-review-metadata.json)" >> $GITHUB_STEP_SUMMARY
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echo "- **Files Changed**: $(jq -r '.pr_info.changed_files | length' pr-review-metadata.json)" >> $GITHUB_STEP_SUMMARY
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# Upload artifacts for manual review or downstream jobs
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- name: Upload Review Context
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uses: actions/upload-artifact@v4
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with:
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name: review-context-pr-${{ github.event.pull_request.number || github.event.inputs.pr_number }}
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path: |
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examples/ci-code-review/pr-review-context.ptx
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examples/ci-code-review/review-prompt.txt
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examples/ci-code-review/pr-review-metadata.json
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retention-days: 30
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# Optional: Post summary comment to PR
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- name: Comment PR Summary
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if: github.event_name == 'pull_request'
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uses: actions/github-script@v7
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with:
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script: |
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const fs = require('fs');
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const metadata = JSON.parse(fs.readFileSync('examples/ci-code-review/pr-review-metadata.json', 'utf8'));
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const comment = `## 🤖 AI Review Context Ready
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Context has been extracted and is ready for AI review:
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- **Files Analyzed**: ${metadata.file_count}
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- **Token Count**: ${metadata.token_count.toLocaleString()}
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- **Files Changed**: ${metadata.pr_info.changed_files.length}
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### Changed Files
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${metadata.pr_info.changed_files.map(f => `- \`${f}\``).join('\n')}
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### Next Steps
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The review context is available as a workflow artifact. You can:
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1. Download the artifact and send it to your AI assistant
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2. Use the provided review prompt for structured feedback
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3. Post the AI's suggestions as review comments
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_Note: Automated AI review posting is not enabled. See workflow file for integration examples._
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`;
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github.rest.issues.createComment({
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issue_number: context.issue.number,
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owner: context.repo.owner,
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repo: context.repo.repo,
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body: comment
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});
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# Optional: Automated AI Review (requires API key)
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# Uncomment and configure this job to automatically post AI reviews
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#
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# ai-review:
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# name: AI Review (Automated)
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# runs-on: ubuntu-latest
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# needs: extract-context
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# if: false # Set to true when ready to enable
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#
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# steps:
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# - uses: actions/checkout@v4
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#
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# - name: Download Review Context
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# uses: actions/download-artifact@v4
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# with:
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# name: review-context-pr-${{ github.event.pull_request.number }}
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#
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# - name: Send to Claude API
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# env:
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# ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
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# run: |
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# # Combine prompt and context
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# PROMPT=$(cat review-prompt.txt)
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# CONTEXT=$(cat pr-review-context.ptx)
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#
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# # Call Claude API
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# REVIEW=$(curl -s https://api.anthropic.com/v1/messages \
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# -H "x-api-key: $ANTHROPIC_API_KEY" \
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# -H "anthropic-version: 2023-06-01" \
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# -H "content-type: application/json" \
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# -d "{
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# \"model\": \"claude-3-5-sonnet-20241022\",
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# \"max_tokens\": 4096,
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# \"messages\": [{
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# \"role\": \"user\",
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# \"content\": \"$PROMPT\n\n$CONTEXT\"
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# }]
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# }" | jq -r '.content[0].text')
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#
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# # Save review
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# echo "$REVIEW" > ai-review.txt
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#
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# - name: Post AI Review Comment
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# uses: actions/github-script@v7
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# with:
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# script: |
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# const fs = require('fs');
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# const review = fs.readFileSync('ai-review.txt', 'utf8');
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#
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# github.rest.issues.createComment({
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# issue_number: context.issue.number,
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# owner: context.repo.owner,
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# repo: context.repo.repo,
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# body: `## 🤖 AI Code Review\n\n${review}\n\n---\n*This review was generated automatically by Claude 3.5 Sonnet*`
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# });

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