DEDUPEDWhat do you want to do?
3 use cases
-
Give your AI reviewer only the code that matters
Install the graph, let it configure your tools, and build the map of your codebase.
- REPO
tirth8205/code-review-graph - Software and DevOps
- Intermediate
View prompt
Install tirth8205/code-review-graph in <repo>, build the graph, and review <diff> through its MCP tools. Report which files the review context included.
- REPO
-
Set up the graph for one specific tool
Target the install at Cursor or another platform instead of auto-detect.
View prompt
Run `code-review-graph install --platform cursor`, build the graph, and confirm Cursor lists its MCP tools.
-
Remove the integrations cleanly
Preview and apply uninstall, optionally keeping graph data or limiting to one repo.
View prompt
Preview with `code-review-graph uninstall --dry-run`, then uninstall, and confirm my agent's MCP list no longer includes it.
Quick start with Code Review Graph
- Check you have what it needs: Python with pip or pipx; A supported AI coding tool.
- Open tirth8205/code-review-graph on GitHub and read the README and license.
- Install with
pip install code-review-graph - Run
code-review-graph installto configure detected AI tools - Run
code-review-graph buildto parse the codebase - Ask your agent to review a change
These steps come from our top use case, Give your AI reviewer only the code that matters, which also has a copy-paste agent prompt.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for tirth8205/code-review-graph
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About this repo
- Who it is forDevelopers using AI coding tools on large repositories who want cheaper, more precise code reviews.
- Why it is hot32k stars
- LanguagePython
- Sourcegithub.com/tirth8205/code-review-graph · Back to Hot repos
Requirements
- Python with pip or pipx
- A supported AI coding tool
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Questions about Code Review Graph
What is Code Review Graph?
code-review-graph builds a local Tree-sitter knowledge graph of your codebase and serves precise review context to AI coding tools over MCP and CLI, so they read only what matters. It is an open-source project on GitHub: https://github.com/tirth8205/code-review-graph.
Who is Code Review Graph for?
Developers using AI coding tools on large repositories who want cheaper, more precise code reviews.
What can I do with Code Review Graph?
3 use cases so far, for example: Give your AI reviewer only the code that matters; Set up the graph for one specific tool; Remove the integrations cleanly. Each has steps and a copy-paste agent prompt.
What do I need to run Code Review Graph?
Python with pip or pipx; A supported AI coding tool.
What are alternatives to Code Review Graph?
Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.
Is Code Review Graph safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.