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Public story · 2026-07-20 · high
The MIT-licensed tool builds a Tree-sitter map so coding agents stop reading whole repos to answer one question.
Why now: code-review-graph topped GitHub's daily trending list on July 20.
code-review-graph hit 22.5k total stars on GitHub, adding 1,876 in a single day to top daily trending.
The stakes are token bills and agent accuracy on large codebases. Scanning a full repo per question burns tokens and can pull in code that misleads the model.
The project is MIT licensed, built by tirth8205. It keeps a persistent Tree-sitter map of the codebase, so agents pull only the files relevant to a question instead of scanning everything.
The headline number: an 82x median reduction in tokens per question, tested across six repos, ranging from 38x to 528x. Impact F1 averaged 0.714, with rebuilds finishing in under 2 seconds.
The tool ships 30 MCP tools, covering impact radius, architecture overviews, hub-node detection, and cross-repo semantic search. Version 2.3.7 landed July 18.
GitHub's listing doesn't say who ran the six-repo benchmark. The 82x figure is a claim to watch, not a settled result.
Repo-mapping is becoming the default fix for agent context waste, not a niche optimization. Two graph-indexing tools trending in one week isn't a coincidence. It's aimed at Anthropic's own 8.5:1 input-to-output token ratio.
Each link below shares sources, entities, or timing with this story.
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