ai-commit-validator

AI Commit Validator 🤖

An AI-powered commit validator that acts as your intelligent code reviewer before commits. Uses OpenAI's GPT models to analyze your staged changes and provide actionable feedback, similar to GitHub Copilot suggestions.

✨ Features

• 🧠 AI Code Review: Leverages OpenAI's GPT models for intelligent code analysis
• 🔍 Pre-commit Validation: Reviews staged changes before they're committed
• 🎨 Interactive CLI: Beautiful colored output with interactive prompts
• 🛡️ Bypass Protection: Requires justification when skipping AI suggestions
• 🚀 Easy Integration: Simple setup as a git hook or standalone tool
• 📊 Detailed Feedback: Provides clear, actionable improvement suggestions

🚀 Installation

Global Installation

npm install -g ai-commit-validator

Local Installation

npm install ai-commit-validator

⚙️ Configuration

1. OpenAI API Key Setup

Create a .env file in your project root:

OPENAI_API_KEY=your_openai_api_key_here

Getting your OpenAI API Key:

• Visit OpenAI Platform
• Sign up or log in to your account
• Navigate to API Keys section
• Create a new secret key
• Copy and paste it into your .env file

2. Environment Variables

Variable	Required	Description	Default
OPENAI_API_KEY	✅ Yes	Your OpenAI API key	-

🎯 Usage

Command Line Interface

# Validate staged changes
validate-commit

Git Hook Integration

Option 1: Pre-commit Hook (Recommended)

Create .git/hooks/pre-commit:

#!/bin/sh
# Run AI commit validator
npx validate-commit

Make it executable:

chmod +x .git/hooks/pre-commit

Option 2: Manual Validation

# Stage your changes
git add .

# Run validation
validate-commit

# If validation passes, commit
git commit -m "Your commit message"

Programmatic Usage

import { validateCommit } from 'ai-commit-validator';

// Run validation
await validateCommit();

🔄 Workflow

• Stage Changes: Add files to git staging area

  git add .
  

• AI Analysis: The validator automatically:

  • Analyzes your staged changes
  • Sends the diff to OpenAI for review
  • Receives intelligent feedback

• Interactive Decision: Based on AI feedback, you can:

  • ✅ Apply suggestions - Make recommended changes
  • ⚠️ Skip with justification - Bypass with required reason
  • ❌ Cancel commit - Stop the commit process

• Commit: If validation passes or is bypassed, proceed with commit

📝 Example Output

🔍 Checking your staged changes...
🧠 Sending code diff to AI for review...

🤖 AI Review Feedback:

I found a few areas for improvement:

1. **Security Issue**: The API key is hardcoded in line 15. Consider using environment variables.
2. **Performance**: The loop in `processData()` could be optimized using `map()` instead of `forEach()`.
3. **Error Handling**: Missing try-catch block around the database query on line 23.

What do you want to do?
❯ Apply suggestions and continue
  Skip validation with comment
  Cancel commit

🎨 Features in Detail

AI-Powered Analysis

• Code Quality: Identifies potential bugs, security issues, and performance problems
• Best Practices: Suggests improvements following coding standards
• Documentation: Recommends better comments and documentation
• Refactoring: Suggests cleaner, more maintainable code patterns

Interactive Experience

• Colored Output: Beautiful terminal interface with chalk.js
• Progress Indicators: Clear feedback during AI processing
• Smart Prompts: Contextual questions based on analysis results

Bypass Protection

• Justification Required: Must provide reason when skipping suggestions
• Audit Trail: Logs bypass reasons for team accountability
• Configurable: Can be customized for team requirements

🛠️ Advanced Configuration

Custom AI Model

Modify the model in index.js:

const response = await openai.chat.completions.create({
  model: "gpt-4", // Change to your preferred model
  messages: [{ role: "user", content: prompt }],
});

Custom Prompts

Customize the AI prompt for your team's needs:

const prompt = `
You are a senior code reviewer for our team.
Focus on: security, performance, and maintainability.
Use our team's coding standards: [link to standards]
...
`;

🔧 Troubleshooting

Common Issues

Error: No OpenAI API Key

Error: OpenAI API key not found

Solution: Ensure .env file exists with OPENAI_API_KEY=your_key

Error: No staged changes

⚠️ No staged changes found

Solution: Stage files first with git add .

Error: API Rate Limit

Error: Rate limit exceeded

Solution: Wait a moment and try again, or upgrade your OpenAI plan

Debug Mode

Add debug logging by modifying index.js:

console.log('Debug: Staged diff:', diff);
console.log('Debug: AI Response:', aiFeedback);

📊 Performance

• Average Analysis Time: 2-5 seconds
• API Cost: ~$0.001-0.01 per commit (depending on change size)
• Supported File Types: All text-based files (JS, TS, Python, etc.)

🤝 Contributing

• Fork the repository
• Create a feature branch: git checkout -b feature/amazing-feature
• Stage your changes: git add .
• Run the validator: validate-commit
• Commit your changes: git commit -m "Add amazing feature"
• Push to the branch: git push origin feature/amazing-feature
• Open a pull request

📋 Requirements

• Node.js: >= 16.0.0
• Git: Any recent version
• OpenAI API Key: Required for AI analysis
• Internet Connection: Required for API calls

📜 License

MIT License - see LICENSE file for details.

👨‍💻 Author

Sanjib Roy

🙏 Acknowledgments

• OpenAI for providing the GPT API
• The open-source community for the excellent libraries used
• GitHub Copilot for inspiration

🔗 Related Projects

• branch-commit-validator - Traditional pattern-based validation
• conventional-changelog - Commit message conventions

📈 Roadmap

• Support for multiple AI providers (Claude, Gemini)
• Team-specific rule customization
• Integration with popular IDEs
• Batch analysis for multiple commits
• Custom rule engine
• Performance metrics and analytics

Made with ❤️ by Sanjib Roy

Transform your commit process with AI-powered code review! 🚀