AI Code Reviewer

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.

Features

• 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

Setup

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"

Configuration

Input	Description	Default
AI_PROVIDER	AI provider to use (openai, anthropic, google)	openai
AI_API_KEY	API key for chosen provider	Required
AI_MODEL	Model to use (see supported models below)	Provider's default
AI_TEMPERATURE	Temperature for AI model	0
APPROVE_REVIEWS	Whether to approve PRs automatically	true
MAX_COMMENTS	Maximum number of review comments	0
PROJECT_CONTEXT	Project context for better reviews	""
CONTEXT_FILES	Files to include in review (comma-separated)	"package.json,README.md"
EXCLUDE_PATTERNS	Files to exclude (glob patterns, comma-separated)	"**/*.lock,**/*.json,**/*.md"

Supported Models

All models supported by the provider should be supported.

Development

# 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 <owner> <repo> <pr_number>

# Run end-to-end tests
yarn test:e2e <repo> <pr_number>

Testing Locally

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 your-org your-repo 123

3. Run the e2e test:

yarn test:e2e your-repo 123

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

Contributing

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

License

MIT License - see LICENSE for details.