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How to map an unfamiliar codebase in one run with Graphify

Build a browsable graph and a highlights report for a project you have not worked in before.

  • Top pick
  • Software and DevOps
  • Intermediate
  • 15 minutes
  • From the README
  • Claude Code
  • Cursor
  • Codex
  • Gemini CLI

Who it is forA developer who has just joined a team or inherited a repo and needs the layout before making changes.

The problemReading files one by one is slow, and it is hard to see which concepts and subsystems matter most.

The outcomeA graph.html you can click through, a GRAPH_REPORT.md listing key concepts and suggested questions, and a graph.json for later queries.

What you need first

  • Python 3.10 or newer
  • uv (recommended) or pipx
  • A supported AI coding assistant, such as Claude Code, Cursor, Codex, or Gemini CLI
  • A local copy of the repository you want to map

Steps

  1. Run uv tool install graphifyy (or pipx install graphifyy) to install the CLI.
  2. Run graphify install once so it registers the skill with your assistant.
  3. Open your AI assistant in the repository and type /graphify .
  4. Open graphify-out/graph.html in a browser and read graphify-out/GRAPH_REPORT.md.

Prompt for your agent

In the Graphify-Labs/graphify repo setup, run `/graphify <repo-path>` on the target repository at <repo-path>. Confirm that graphify-out/ contains graph.html, GRAPH_REPORT.md, and graph.json, then summarize the top concepts listed in GRAPH_REPORT.md.

Caveat. Code parsing is local and deterministic, but docs, PDFs, and media use your assistant's model or a configured API key for the semantic pass.

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