tirth8205/code-review-graph: README-based editorial guide

tirth8205/code-review-graph describes itself in the README as "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 reductions on reviews and large-repo workflows.". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "README", the README says: 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 so it reads only what matters.. That establishes the project's stated boundary, not a production test.

The README's "Limitations and known weaknesses" section gives a useful starting point for deciding whether the project fits: Small single-file changes: Graph context can exceed naive file reads for trivial edits (see express results above). The overhead is the structural metadata that enables multi-file analysis.. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: Impact "recall 1.0" is graph-derived and circular: the historical ground truth comes from the same graph edges the predictor walks, so it is an upper bound by construction.. It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "Quick Start". The source evidence includes: Requires Python 3.10+. For the best experience, install uv.. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.

Start installation from the README's documented entry point. A command that can be checked in the source is: pip install code-review-graph # or: pipx install code-review-graph code-review-graph install # auto-detects and configures all supported platforms code-review-graph build # parse your codebase When the README contains no runnable command, this article does not invent one. Open its "How It Works" section and confirm system dependencies, default ports, and first-run initialization before using a public server.