Aurora AI Extension for VS Code

A powerful AI coding assistant that brings the northern lights to your development workflow

Overview

Aurora is a VS Code extension that seamlessly integrates multiple AI models (GPT Pro, Gemini Pro, Claude) into your development environment, providing intelligent code assistance, refactoring suggestions, and natural language interactions with your codebase.

✨ Features

• 🤖 Multi-Model AI Support

  • OpenAI GPT Pro integration
  • Google Gemini Pro capabilities
  • Anthropic Claude 3.5 Sonnet support

• 💡 Intelligent Code Assistance

  • Context-aware code suggestions
  • Automated refactoring proposals
  • Bug detection and fixes
  • Code documentation generation

• 💬 Advanced Chat Interface

  • Markdown rendering with syntax highlighting
  • Code snippet integration
  • Multi-file context support
  • Conversation threading

• 🔄 Project Management

  • Local conversation history
  • Import/Export functionality
  • Session persistence
  • Custom prompt templates

🚀 Quick Start

1. Clone the repository:

git clone https://github.com/yourusername/aurora.git
cd aurora

2. Install dependencies:

npm install

3. Build the extension:

npm run compile
npm run build

4. Launch in VS Code:

• Press F5 to start debugging
• Or install the VSIX package directly

🎯 Commands

Command	Description
Aurora: Open Chat	Launch the AI chat interface
Aurora: Show History	View conversation history
Aurora: Export Conversations	Save conversations to file
Aurora: Import Conversations	Load previous conversations
Aurora: Toggle Model	Switch between AI models

🛠️ Development

Project Structure

aurora/
├── src/                # Source code
│   ├── commands/      # VS Code commands
│   ├── services/      # AI service integrations
│   ├── ui/           # User interface components
│   └── utils/        # Helper utilities
├── media/            # Assets and resources
├── dist/            # Compiled output
└── tests/           # Test suites

Build System

• TypeScript compilation
• Webpack bundling
• ESLint + Prettier formatting
• Husky pre-commit hooks

Configuration

The project uses TypeScript path aliases for clean imports:

{
  "@/*": ["*"],
  "@ui/*": ["ui/*"],
  "@services/*": ["services/*"]
  // ... more aliases
}

📋 Requirements

• VS Code 1.85.0+
• Node.js 16.x+
• API Access:
  • OpenAI API key for model access
  • GPT Pro subscription for iframe integration

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Run tests and linting:

npm run test
npm run lint
npm run format

4. Commit your changes (git commit -m 'Add amazing feature')
5. Push to the branch (git push origin feature/amazing-feature)
6. Open a Pull Request

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔒 Privacy & Security

• All conversations are stored locally
• No data collection or telemetry
• API calls are made directly to respective services
• Credentials are stored securely in VS Code's secret storage

🌟 Acknowledgments

• Inspired by the beauty of the Aurora Borealis
• Built with VS Code's extensibility framework
• Powered by cutting-edge AI models