Show HN: Arbor – An AST based Rust engine for deterministic AI codebase context (github.com)

Arbor, an innovative tool designed for navigating complex codebases, has introduced a new approach to code analysis by transforming source code into a 3D "Logic Forest." Utilizing Tree-sitter, Arbor constructs a dynamic graph where code entities such as functions and variables are nodes, connected by their relationships. This enables AI coding assistants to trace calls and dependencies accurately, eliminating common issues with traditional "retrieve and generate" (RAG) methods, which often lead to hallucinated results and broken refactorings. The significance of Arbor lies in its ability to provide precise context and insights about code structures in real-time, drastically enhancing the efficiency of software development. It delivers quick updates—about 15ms in large codebases—ensuring minimal disruption during coding. Arbor also allows for targeted queries using its simple JSON-RPC over WebSocket interface, letting developers assess function impacts, find architectural roots, and automatically visualize their codebase as an interactive graph. This enhances understanding and empowers engineers to visualize changes and dependencies effectively, marking a substantial advancement in AI-assisted coding tools.