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AI/ML Context Optimization CLI Tool
Chitra
RustTree-sitterLocal LLMsAgentic RAG
Chitra is an AI/ML Context Optimization CLI Tool.
Architecture
Architect a high-performance codebase context-resolution CLI in Rust, utilizing Tree-sitter for Abstract Syntax Tree parsing to build a blazing-fast, vectorless Agentic RAG pipeline.
Investigation Loop
Implement an autonomous investigation loop where local, on-device LLMs execute native tools (ripgrep, AST extraction) to dynamically map dependencies without heavy static indexing.
Optimization
Optimize Large Language Model token consumption and API costs by synthesizing raw codebase logic into highly compressed, targeted prompt payloads, maximizing the accuracy of flagship models.