Discover · GitHub · Code Review Graph↑ +74 today

Saving tokens in AI code review

Code-review-graph analyzes the code base and creates a locally focused code intelligence map for artificial intelligence tools. This structure makes artificial intelligence-supported code review processes more efficient by using context reduction methods in large projects.

★ 31,601
Python
GitHub Trending · 2026-07-18

Updates

September 19, 2026: Stars 30,676 → 31,601, latest release v2.3.9 (September 18, 2026).
August 22, 2026: Stars 29,487 → 30,676, latest release v2.3.8 (August 21, 2026).
August 9, 2026: Stars 28,041 → 29,487, latest release v2.3.7 (July 18, 2026).
August 2, 2026: Stars 19,852 → 28,041, latest release v2.3.7 (July 18, 2026).

What you get

Analyzes the code base and presents only relevant files to artificial intelligence
Significantly reduces token consumption in large projects
Automatically manages updates by analyzing the impact of changes

Installation

Basic Setup

pip install code-review-graph

Auto Configuration

code-review-graph install

Running it

Creating the Code Map

code-review-graph build

If you don't write code

🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)

This project has code-review-graph installed. Please create the code review graph of the project and have my AI assistant analyze the code changes by only reading the necessary context.

Related dictionary terms

Who it is forIt is suitable for developers who work on large code bases and want to reduce the token costs of artificial intelligence tools.

LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-18: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.