AI Code Reviewer is a GitHub Action that leverages multiple AI providers (OpenAI, Anthropic, Google) to provide intelligent feedback and suggestions on your pull requests. This powerful tool helps improve code quality and saves developers time by automating the code review process.

• Supports multiple AI providers:
  • OpenAI (ChatGPT)
  • Anthropic (Claude)
  • Google (Gemini)
• Provides intelligent comments and suggestions for improving your code
• Reviews only new changes in PR updates
• Filters out files that match specified exclude patterns
• Easy to set up and integrate into your GitHub workflow

1. Choose your preferred AI provider and get an API key:

   • OpenAI
   • Anthropic
   • Google AI

2. Add the API key as a GitHub Secret in your repository:

   • OPENAI_API_KEY for OpenAI
   • ANTHROPIC_API_KEY for Claude
   • GOOGLE_AI_KEY for Google Gemini

3. Create .github/workflows/code-review.yml:

name: AI Code Review on: pull_request: types: [opened, synchronize] permissions: write-all jobs: review: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: AI Code Review uses: your-username/ai-code-reviewer@main with: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # Choose your AI provider and key AI_PROVIDER: "openai" # or "anthropic" or "google" AI_API_KEY: ${{ secrets.OPENAI_API_KEY }} AI_MODEL: "gpt-4o-mini" AI_TEMPERATURE: 0.3 # 0 to 1 - higher values = more creativity and variance # Optional configurations APPROVE_REVIEWS: true MAX_COMMENTS: 10 # 0 to disable PROJECT_CONTEXT: "This is a Node.js TypeScript project" CONTEXT_FILES: "package.json,README.md" EXCLUDE_PATTERNS: "**/*.lock,**/*.json,**/*.md"

All models supported by the provider should be supported.

# Install dependencies yarn install # Build TypeScript files yarn build # Run unit tests yarn test # Package for distribution yarn package # Generate test PR payload (for e2e testing) yarn generate-pr-payload <owner> <repo> <pr_number> # Run end-to-end tests yarn test:e2e <owner> <repo> <pr_number>

To test the action locally:

1. Create a .env file with your credentials:

GITHUB_TOKEN=your_github_token AI_PROVIDER=openai # or anthropic, google AI_API_KEY=your_api_key AI_MODEL=your_preferred_model

2. Generate a test PR payload:

yarn generate-pr-payload <owner> <repo> 123

3. Run the e2e test:

yarn test:e2e <owner> <repo> 123

Note: Make sure you have write access to the repository you're testing with.

Contributions are welcome! Please feel free to submit issues or pull requests.

MIT License - see LICENSE for details.