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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.