Open Source AI Coding Stack Advisor

Programming Language: Python, JavaScript Specific Requirements: Need code completion for web development, data science projects, want privacy-focused solution Hardware: MacBook Pro M2, 16GB RAM

**RECOMMENDED SETUP** - IDE Choice: VSCode with Continue.dev extension - offers excellent open-source LLM integration with familiar interface and strong Python/JS support - LLM Model: CodeLlama 13B or StarCoder2 15B - optimal balance of code quality and performance for your M2 hardware - Integration Method: Ollama for local model hosting + Continue extension for seamless IDE integration **STEP-BY-STEP SETUP GUIDE** 1. Install VSCode and Continue extension from marketplace 2. Install Ollama (brew install ollama) 3. Download CodeLlama: ollama pull codellama:13b-instruct 4. Configure Continue with Ollama endpoint in config.json 5. Optimize model parameters for M2 chip performance **ALTERNATIVE OPTIONS** 1. Neovim + CodeGPT plugin with Ollama (higher learning curve, maximum customization) 2. Cursor fork with local model support (balanced approach, some proprietary elements) 3. JetBrains IDEs with open-source plugins (heavy but feature-rich) **PERFORMANCE EXPECTATIONS** - Code completion quality: 85% accuracy for common patterns - Speed: 2-4 second response time for completions - Resource usage: ~8GB RAM during active use **TROUBLESHOOTING TIPS** - Reduce context window if responses are slow - Use quantized models (Q4_K_M) for better performance - Monitor temperature with Activity Monitor **UPGRADE PATH** Start with 13B model, upgrade to 34B when more RAM available, consider fine-tuning on your codebase for specialized domains.