Intelligent Efficiency: chu do Finds The Optimal Path
chu do uses intelligent auto-recovery to find the optimal model path. Evaluates cost, speed, reliability across backends with real-time learning from execution history.
Blog
Guides, configurations, and tips for getting the most out of Chuchu.
Optimizing Intelligence: Why We Combined KANs, XGBoost, and Unbiased Sampling
Chuchu's intelligence layer combines XGBoost, KAN networks, and unbiased sampling to optimize the speed vs intelligence tradeoff for autonomous coding tasks.
Complete Workflow: From Feature Idea to Implementation
Master Chuchu's three-phase workflow: Research codebase context, plan implementation steps, and execute interactively or autonomously with built-in verification.
The Future of AI Pair Programming: Beyond Autocomplete
From autocomplete to agentic coding to autonomous engineering. Exploring the future of AI-assisted development and Chuchu's roadmap toward Phase 3.
ML-Powered Intelligence: 500x Faster, 92% Cheaper
Embedded ML models in Chuchu enable instant intent classification and complexity detection with zero API costs. 92% cheaper than commercial copilots.
Profile Management: Multiple Configurations per Backend
Switch between multiple named configurations per backend. Create speed, quality, and free profiles to optimize your workflow without editing config files.
Advanced Context Management: Handling Large Repositories
Learn how Chuchu uses RAG, smart retrieval, and context optimization to handle large repositories without dumping your entire codebase into the prompt.
Model Performance Benchmarks: Real-World Coding Comparisons
Real-world coding benchmarks comparing models on HumanEval, AIME, and speed metrics. Find the best models for your budget and use case.
Switching Between Local and Cloud: Flexibility When You Need It
Switch between local Ollama models for privacy and cloud providers for power. Get the best of both worlds with Chuchu's flexible backend configuration.
Running Chuchu Completely Offline with Ollama
Run Chuchu completely offline with Ollama. Your code never leaves your machine. Zero cost per token, full privacy, no network latency.
OpenRouter: Access to Premium Models in One Place
OpenRouter provides unified access to the best AI models from multiple providers through a single API, including Claude 4.5, Grok 4.1, and free tier models.
Optimal Groq Configurations for Different Budgets
Groq offers blazing-fast inference with LPU technology. Here are optimized agent model configurations for different budgets, from $20/month to $90/month.
Context Engineering: Making AI Work in Real Codebases
Learn context engineering principles to make AI work effectively in production codebases. Proper context management enables handling 300k+ LOC repos with today's models.
Why Chuchu? Building an Affordable AI Coding Assistant
AI coding assistants cost $20-30/month. Chuchu offers AI assistance with validation for $2-5/month with Groq or $0/month with Ollama. Radically affordable without compromise.