FIM Autocomplete at < 150ms: Tree-sitter, nomic Embeddings, and StarCoder2-3B on a Laptop
📰 Dev.to · Sourish Chakraborty
Build a fast autocomplete engine using Tree-sitter and StarCoder2-3B for an AI coding IDE
Action Steps
- Install Tree-sitter for chunking code
- Use nomic-embed-text for embeddings generation
- Integrate Chroma for syntax highlighting
- Deploy StarCoder2-3B model for autocomplete predictions
- Optimize the engine for < 150ms response time
Who Needs to Know This
Developers and engineers working on AI-powered coding tools can benefit from this tutorial to create efficient autocomplete features
Key Insight
💡 Combining Tree-sitter chunking with StarCoder2-3B model can achieve fast and accurate autocomplete results
Share This
⚡️ Build a < 150ms autocomplete engine with Tree-sitter & StarCoder2-3B! 💻
Key Takeaways
Build a fast autocomplete engine using Tree-sitter and StarCoder2-3B for an AI coding IDE
Full Article
Step-by-step: build a < 150ms fill-in-the-middle autocomplete engine using Tree-sitter chunking, nomic-embed-text, Chroma, and StarCoder2-3B. Part 1 of building Dhi — the open-source AI coding IDE.
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