Optimize Code Reviews with code-review-graph

code-review-graph is a tool designed to optimize the code review process by building a persistent knowledge graph of your codebase. It utilizes Tree-sitter to create a structural map that allows AI coding assistants to focus only on relevant parts of the code, significantly reducing the number of tokens used during reviews.

Key features:

• Incremental updates - Re-parses only changed files, completing updates in under 2 seconds.
• Blast-radius analysis - Identifies which functions and files are affected by changes, minimizing unnecessary reads.
• Support for 23 languages - Includes parsing for languages like Python, JavaScript, Go, and more.
• Interactive visualization - Offers a D3.js force-directed graph for exploring code relationships.
• Auto-update hooks - Automatically updates the graph on every file edit or git commit.

This tool is particularly beneficial for developers working with large codebases, as it enhances efficiency and reduces the cognitive load during code reviews.