Steven Gonsalvez

Software Engineer

tirth8205/code-review-graph: Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reduction

Why CEREBRO kept it

MCP code-intelligence for AI tools; context-reduction benchmark

The text below is an automated extraction of the article at https://github.com/tirth8205/code-review-graph, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).

Stop burning tokens. Start reviewing smarter. English | 简体中文 | 日本語 | 한국어 | हिन्दी Usage · Commands · FAQ · Troubleshooting · GitHub Action · Reproducing the benchmarks · Roadmap AI coding tools can end up re-reading large parts of your codebase on review tasks. code-review-graph fixes that. It builds a structural map of your code with Tree-sitter, tracks changes incrementally, and gives your AI assistant precise context via MCP so it reads only what matters. pip install code-review-graph # or: pipx install code-review-graph code-review-graph install # auto-detects

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Shares tags: ai/agents · ai/llm-mechanics

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