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code-review-graph (GitHub Repo)
Code-review-graph builds an AST-based structural map of your codebase, helping AI coding assistants save tokens by reading only essential context.
What: This open-source tool uses Tree-sitter to parse code into a graph of nodes and edges (calls, inheritance). It integrates with MCP-compatible platforms like Claude Code and Cursor to provide AI with the 'blast radius' of changes, achieving a median 82x reduction in token usage on large projects.
Why it matters: As AI coding tools become more common, context window management is becoming a critical engineering problem; moving from naive RAG to structural graph analysis significantly improves both cost and accuracy.
Takeaway: Run `pip install code-review-graph` and `code-review-graph install` to inject graph-aware instructions into your local AI editors.
Decoder
- Tree-sitter: A parser generator tool and incremental parsing library that builds an Abstract Syntax Tree (AST) for source code files.
- MCP (Model Context Protocol): An open standard that enables AI models to connect securely to local data sources and tools via standardized interfaces.
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