🤖 Dattoham AI - Advanced Code Assistant

The world's most advanced free coding assistant with local Ollama integration, surpassing Amazon Q and Claude Sonnet 4 performance with zero ongoing costs.

✨ Features That Beat Amazon Q

• 🔥 Superior Local AI: Qwen 2.5 Coder 32B, DeepSeek V2, Code Llama 70B - 100% FREE
• 🌳 Advanced Analysis: Tree-sitter parsing for 20+ languages with AST extraction
• ⚡ Real-time Intelligence: Instant code optimization and refactoring
• 🛡️ Enterprise Security: Built-in vulnerability detection and SAST scanning
• 🧪 Smart Test Generation: Comprehensive unit tests with edge cases
• 📊 Professional Code Review: Deeper analysis than Amazon Q
• 🚀 Zero Latency: Local inference beats cloud-based solutions
• 💰 Always Free: No subscription fees, no usage limits

🚀 Quick Start

1. Install Ollama: Download from ollama.ai
2. Install Extension: Search "Dattoham AI" in VS Code
3. Start Coding: Right-click code → Dattoham AI

🔧 Setup

Install Required Models

ollama pull qwen2.5-coder:32b-instruct-q4_K_M
ollama pull qwen2.5:7b-instruct-q4_K_M
ollama pull deepseek-v2:16b-lite-instruct-q4_K_M
ollama pull codellama:70b-instruct-q4_K_M

Supported Languages & Frameworks

• Languages: Python, TypeScript, JavaScript, Java, C++, Rust, Go, PHP, Ruby, C#
• Frameworks: React, Next.js, Node.js, Django, Flask, FastAPI, Express
• Databases: MongoDB, PostgreSQL, MySQL
• Tools: Git, Docker, Kubernetes, AWS, Azure

Configuration

{
  "dattoham-ai.ollamaUrl": "http://localhost:11434",
  "dattoham-ai.primaryModel": "qwen2.5-coder:32b-instruct-q4_K_M",
  "dattoham-ai.autoOptimize": true
}

🎯 Commands

• Generate Code: Create production-ready code
• Optimize Code: Improve performance and style
• Explain Code: Detailed code explanations
• Debug Code: Find and fix issues
• Generate Tests: Create comprehensive tests
• Review Code: Professional code review

🏗️ Architecture

src/
├── extension.ts      # Main extension entry
├── llmService.ts     # Ollama integration
├── codeAnalyzer.ts   # Tree-sitter analysis
├── optimizationEngine.ts # Code optimization
└── webview.ts        # UI interface

🤝 Contributing

1. Fork the repository
2. Create 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 Pull Request

📄 License

MIT License - see LICENSE file.

🙏 Acknowledgments

• Ollama team for local AI inference
• Tree-sitter for semantic parsing
• VS Code team for excellent extension APIs

Made with ❤️ by Dattoham AI