🤖 IntelliPy v2.0.1 - AI Code Assistant

GitHub Copilot-like experience with multiple AI providers

IntelliPy brings AI-powered coding assistance to VS Code with support for multiple providers including AWS Bedrock, Microsoft 365 Copilot, and custom endpoints.

🌐 Website | 📖 Documentation | 🐛 Issues

✨ Features

🔮 Inline Code Completions

• Real-time AI suggestions as you type
• Context-aware completions for all programming languages
• GitHub Copilot-like experience

💬 Interactive Chat Interface

• Dedicated chat panel for code discussions
• Ask questions, get explanations, debug issues
• Beautiful, responsive UI with VS Code theming

🔄 Multiple AI Providers

• AWS Bedrock (default) - Privacy-first with Claude & Titan models
• Microsoft 365 Copilot - Simple browser integration
• Custom Server - Connect to your own AI endpoint

⚡ Smart Code Generation

• Generate code from text selections
• AI-powered code analysis and suggestions
• Context-aware improvements and optimizations

🚀 Quick Start

1. Install

Install from the VS Code Marketplace or:

code --install-extension intellipy-dev.intellipy

2. Select Provider

Ctrl+Shift+P → "IntelliPy: Select AI Provider"

3. Start Coding!

Begin typing and get AI-powered suggestions, or open the chat panel with Ctrl+Shift+I.

🔧 Provider Setup

🔶 AWS Bedrock (Recommended)

# Install AWS CLI
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip && sudo ./aws/install

# Configure credentials
aws configure

# Ensure Bedrock access in your region

🔷 Microsoft 365 Copilot

• Requires M365 Business license with Copilot access
• No configuration needed - opens in browser
• Click to test access directly

⚙️ Custom Server

• Configure your endpoint URL in settings
• REST API with JSON request/response format:

// Request
{
  "message": "user query",
  "context": "additional context"
}

// Response  
{
  "response": "AI response text"
}

🎯 Commands & Shortcuts

🏗️ Architecture v2.0

Clean, modular architecture for maintainability:

src/
├── extension.ts              # Main entry point (43 lines)
├── providers/               # AI provider implementations
│   ├── base.ts             # Provider interface
│   ├── bedrockProvider.ts  # AWS Bedrock integration
│   ├── m365Provider.ts     # M365 Copilot (browser-based)
│   ├── customProvider.ts   # Custom endpoint support
│   └── providerFactory.ts  # Provider management
└── features/               # Core features
    ├── chat.ts            # Chat webview interface
    ├── commands.ts        # Command handlers
    └── inlineCompletion.ts # Inline completion provider

🔒 Privacy & Security

AWS Bedrock (Default)

• ✅ Privacy-first - Your code goes only to your AWS account
• ✅ No data retention - AWS Bedrock doesn't store your data
• ✅ Enterprise-grade - SOC 2, ISO 27001, HIPAA compliant
• ✅ Transparent - All API calls are auditable

Microsoft 365 Copilot

• ✅ Browser-based - Uses your existing M365 session
• ✅ No local storage - Queries processed in M365 environment
• ✅ Enterprise compliance - Inherits your M365 security policies

Custom Server

• ⚠️ Your responsibility - Security depends on your endpoint
• ✅ Full control - You manage the entire data flow

🛠️ Development

Project Structure

# Install dependencies
npm install

# Build for development
npm run esbuild

# Build for production
npm run esbuild-prod

# Package extension
npx vsce package

Key Files

• package.json - Extension manifest and dependencies
• src/extension.ts - Main activation point
• src/providers/ - AI provider implementations
• src/features/ - Feature modules
• docs/development/ - Development documentation

📝 Configuration

Configure IntelliPy through VS Code settings:

{
  "intellipy.llmProvider": "bedrock",           // Provider: bedrock|m365copilot|custom
  "intellipy.enableInlineCompletions": true,   // Enable inline suggestions
  "intellipy.awsRegion": "us-east-1",         // AWS region for Bedrock
  "intellipy.modelId": "anthropic.claude-3-sonnet-20240229-v1:0", // Bedrock model
  "intellipy.customEndpoint": ""               // Custom server URL
}

🤝 Contributing

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit changes: git commit -m 'Add amazing feature'
4. Push to branch: git push origin feature/amazing-feature
5. Open a Pull Request

📄 License

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

🙏 Acknowledgments

• AWS Bedrock team for the powerful AI models
• Microsoft for M365 Copilot integration possibilities
• VS Code team for the excellent extension API
• Open source community for inspiration and feedback

Made with ❤️ by vsdhaka