unit-mesh/build-your-ai-coding-assistant

Integrates IDE static code analysis (JetBrains, VSCode) with scenario-driven architecture that matches model size to task latency requirements—from 6B models for code completion to 32B+ for refactoring, combined with RAG pipelines for code explanation using AST-based chunking and vector search. Provides unified customization framework for intent-driven AI capabilities, with reference implementations covering FIM (fill-in-the-middle) completion, in-context learning patterns, and fine-tuning workflows using DeepSeek Coder via Deepspeed and proprietary datasets (Unit Eval, Unit Minions).

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