🚀 GemmaPilot - Advanced AI Coding Assistant

Now Enhanced! GemmaPilot v0.1.0 brings GitHub Copilot-level features with advanced capabilities like file analysis, command execution, and beautiful chat UI - all running locally!

GemmaPilot is a powerful AI coding assistant for VS Code that provides intelligent code suggestions, explanations, and assistance using local language models via Ollama. Unlike cloud-based solutions, GemmaPilot keeps your code private and secure on your machine.

✨ New Features in v0.1.0

🎯 Core AI Capabilities

• 💬 Context-Aware Chat: Intelligent conversations with full workspace awareness
• 📄 File Analysis: Deep code analysis and detailed explanations
• ⚡ Code Completion: Smart autocomplete suggestions with context
• 📎 File Attachment: Attach and analyze specific files in chat
• 🌐 Workspace Integration: Access and analyze your entire project structure
• ⚙️ Command Execution: Run terminal commands with AI assistance (user approval required)

🎨 Beautiful Interface

• Modern WebView UI: Clean, responsive chat interface with toolbar
• 📝 Markdown & Code Rendering: Properly formatted responses with syntax highlighting
• 🎛️ Context Controls: Toggle workspace, selection, and file context
• 🔧 Professional Design: GitHub-inspired styling with dark theme support

🔒 Privacy & Security

• 🏠 Local Processing: Uses your own Ollama instance - no data leaves your machine
• ✅ Command Approval: User confirmation required for all command executions
• 🛡️ Safe Filtering: Dangerous commands automatically blocked
• 🔐 Zero Data Sharing: Everything stays on your computer

🚀 Quick Start

Installation

1. Install Ollama: Download from ollama.ai
2. Pull a Model: ollama pull codellama:7b
3. Install Dependencies: pip install fastapi uvicorn ollama pydantic
4. Start Backend: cd backend && python server.py
5. Install Extension: Load gemmapilot-0.1.0.vsix in VS Code
6. Open Chat: Ctrl+Shift+P → "GemmaPilot: Open Chat"

Usage Examples

• 💡 Ask Questions: "Explain this function" or "How can I optimize this code?"
• 📎 Analyze Files: Attach files and ask "What does this code do?"
• 🔍 Context Help: Select code and ask "Refactor this function"
• ⚡ Get Commands: "Run the tests" or "Install dependencies" (with approval)

📊 Architecture

┌─────────────────┐    HTTP/REST    ┌──────────────────┐
│   VS Code       │ ◄──────────────► │ FastAPI Backend  │
│   Extension     │                 │                  │
│                 │                 │ ┌──────────────┐ │
│ ┌─────────────┐ │                 │ │   Ollama     │ │
│ │ WebView UI  │ │                 │ │   (Local LLM)│ │
│ │ (Chat)      │ │                 │ └──────────────┘ │
│ └─────────────┘ │                 └──────────────────┘
└─────────────────┘

• Frontend: TypeScript VS Code extension with WebView UI
• Backend: FastAPI server with Ollama integration
• AI Model: Local Ollama instance (codellama, gemma3, etc.)
• Communication: REST API for all interactions

🛠️ Available Features

Feature	Description	Status
💬 Enhanced Chat	Context-aware conversations with workspace integration	✅ Ready
📎 File Attachment	Attach and analyze specific files	✅ Ready
🌐 Workspace Context	Full project structure awareness	✅ Ready
🎯 Selection Context	Analyze selected code snippets	✅ Ready
⚙️ Command Execution	Run AI-suggested terminal commands	✅ Ready
📄 File Analysis	Deep code analysis and explanations	✅ Ready
⚡ Code Completion	Smart autocomplete suggestions	✅ Ready
🎨 Beautiful UI	Modern WebView interface	✅ Ready

🎯 Prerequisites

• Hardware: MacBook with Apple Silicon (M1/M2/M3) recommended, 16GB+ RAM
• Software:
  • macOS Ventura+ or Windows 10+ or Linux
  • Visual Studio Code 1.80.0+
  • Python 3.8+
  • Node.js 16+ (for development)

📁 Project Structure

gemmapilot/
├── README.md                    # This file
├── USAGE_GUIDE.md              # Comprehensive usage guide
├── ENHANCEMENT_COMPLETE.md     # Enhancement summary
├── .gitignore                  # Professional gitignore
├── setup.sh                    # Automated setup script
├── test_features.py            # Feature testing script
├── backend/                    # FastAPI backend
│   └── server.py              # Enhanced server with all features
└── extension/                  # VS Code extension
    ├── src/                   # TypeScript source
    │   ├── extension.ts       # Main extension logic
    │   ├── types.ts          # Type definitions
    │   ├── config.ts         # Configuration
    │   └── statusBar.ts      # Status bar integration
    ├── package.json           # Extension manifest
    └── gemmapilot-0.1.0.vsix # Ready-to-install extension

🔧 Supported Languages

• Primary: Python, JavaScript/TypeScript, Go, Rust
• Secondary: Java, C/C++, PHP, Ruby, Swift
• Markup: HTML, CSS, Markdown, JSON, YAML
• Databases: SQL, MongoDB queries
• DevOps: Docker, Kubernetes, Shell scripts

🛠️ Troubleshooting

Backend Issues

# Check if backend is running
curl -X GET http://localhost:8000/health

# Test chat functionality  
curl -X POST http://localhost:8000/chat \
  -H "Content-Type: application/json" \
  -d '{"prompt":"Hello", "context":"test"}'

Extension Issues

1. Reload VS Code: Ctrl+Shift+P → "Developer: Reload Window"
2. Check Extension: Look for GemmaPilot icon in Activity Bar
3. Reinstall: Uninstall and reinstall the VSIX file
4. Debug: Help → Toggle Developer Tools for console logs

Performance Tips

• Use smaller models for faster responses: ollama pull codellama:7b
• Close other memory-intensive applications
• Monitor Ollama with ollama ps

🧪 Testing

Run comprehensive feature tests:

# Test all backend features
python test_features.py

# Expected output:
# 🚀 GemmaPilot Backend Feature Tests
# ✓ Chat endpoint working
# ✓ Code completion working  
# ✓ File analysis working
# ✓ Workspace file listing working
# ✓ Command execution working
# 🎉 All tests passed!

🔒 Security Features

• Local Processing: All AI inference happens on your machine
• Command Filtering: Dangerous commands (rm -rf, format, etc.) blocked
• User Approval: All command executions require explicit user consent
• No Telemetry: No usage data sent anywhere
• Sandboxed: Commands run in specified workspace directory only

🆚 vs GitHub Copilot

Feature	GitHub Copilot	GemmaPilot	Advantage
Code Completion	✅	✅	Equal
Chat Interface	✅	✅	Equal
File Analysis	✅	✅	Equal
Context Awareness	✅	✅	Equal
Command Execution	❌	✅	🏆 GemmaPilot
File Attachment	❌	✅	🏆 GemmaPilot
Local Processing	❌	✅	🏆 GemmaPilot
Custom Models	❌	✅	🏆 GemmaPilot
Open Source	❌	✅	🏆 GemmaPilot
Free	❌	✅	🏆 GemmaPilot

🤝 Contributing

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Make your changes and test thoroughly
4. Commit: git commit -m 'Add amazing feature'
5. Push: git push origin feature/amazing-feature
6. Submit a pull request

📄 License

MIT License - see LICENSE file for details

🙏 Acknowledgments

• Ollama for excellent local LLM serving
• VS Code for the powerful extension API
• FastAPI for the robust backend framework
• GitHub Copilot for inspiration and reference

🆘 Support & Documentation

• Usage Guide: See USAGE_GUIDE.md for comprehensive documentation
• API Documentation: Visit http://localhost:8000/docs when backend is running
• Issues: Report bugs and feature requests on GitHub
• Discussions: Join our community discussions

---

Experience the future of AI-assisted coding - locally, privately, and powerfully! 🚀

Built with ❤️ for developers who value privacy, control, and cutting-edge AI assistance.