Claude Code Graphify: Code Maps and Project Context
Claude Code Graphify generates a structural map of your codebase to give Claude Code better project context. Here is how to set it up, check that its output is useful, and link architecture findings to project decisions.
Updated 5 min read
Claude Code Graphify is a community tool that generates a code structure map from your repository and provides it to Claude Code as context. The map describes how files, modules, and functions relate to each other, which helps Claude Code understand dependencies before touching a part of the codebase it has not seen before.
A code graph tells Claude Code the structure; it does not tell it the project's decisions, requirements, or what was approved. Those belong in a maintained record. Tools like fenbs keep architecture decisions and project rules next to the tasks, so every session has both the structural picture and the agreed constraints.
What is Claude Code Graphify?
Graphify is a community plugin, not an official Anthropic product. It analyses your repository and produces a structured representation of the code — typically a dependency graph, a call graph, or a module map — and injects it into Claude Code's context so the model can reference it during a session.
The usefulness of the graph depends on the codebase. For a small project where Claude Code can read all the relevant files in a session, the graph may not add much. For a large project where the full file tree exceeds the context window, a compact structural map can help Claude Code find the right files and avoid breaking unrelated code.
How do you install and set up Graphify?
Follow the installation instructions on the Graphify project repository. The general flow is to install the tool, run it against your repository to produce a graph file, and then configure Claude Code to read that file at session start. Check the project's current documentation for the exact configuration, because the plugin interface can change between versions.
- Install Graphify using the method the project recommends, usually a global npm install or a project-level dev dependency.
- Run Graphify against your repository to produce the initial code graph. Check the output file to confirm it includes the modules and relationships you expected.
- Configure Claude Code to read the graph file at startup, either through a CLAUDE.md reference or a project-level settings entry the plugin supports.
- Start a Claude Code session and ask it to describe the project structure from the graph. Verify that the description matches what you know before using it for real work.
What does the code graph show?
The graph output varies by tool configuration and language support. Common outputs include:
- Module and file dependencies: which files import which others.
- Function call relationships: which functions call which, useful for tracing execution paths.
- Class and interface hierarchies: inheritance and interface implementation trees.
- External package dependencies: which third-party packages each module uses.
The graph is a snapshot of the repository at the time Graphify runs. It becomes stale as you add, move, or delete files. Decide how often to regenerate it based on how fast your project structure changes. Adding a regeneration step to your project setup script keeps it reasonably current.
How do you check if the graph is useful for your task?
Before relying on the graph for a real task, ask Claude Code to answer a structural question you already know the answer to. "Which files import the authentication module?" is a good test if you know the answer. If Claude Code's answer from the graph is wrong or incomplete, the graph is either stale or did not capture that relationship correctly.
A graph that covers the modules you are about to change is more useful than a full project graph that includes generated or vendored code. If Graphify includes those, check whether you can configure it to exclude them. A smaller, accurate graph is more useful than a large, noisy one.
How do you connect graph findings to project decisions?
When a Graphify session reveals something important — a hidden dependency between two modules that should be decoupled, a circular import that should be resolved — that finding should become a decision or a task, not just a session observation.
Recording the finding in fenbs as a decision or a lesson gives the next session context about why a structural choice was made. "The auth module must not import from the UI layer because the graph showed a circular dependency that caused test failures" is actionable. A session observation that is not recorded disappears when the session closes.
Link architecture findings to project decisions
When Graphify surfaces an important structural finding, record it as a decision or a context note in fenbs. Link it to the affected tasks. Future Claude Code sessions read those notes before working on the relevant modules, so they start from the architectural picture the project needs them to have.
Create a free accountFree for one person · No credit card · Works with Claude, ChatGPT, Cursor and more
How to do this with fenbs
- Create a free account and add the project you are using Graphify on.
- Install and run Graphify. Verify the output covers the modules you care about before relying on it in a session.
- Connect Claude Code to fenbs from Integrations. Add any architecture decisions that the initial graph run surfaces as Decisions and rules.
- At the start of each session, ask Claude Code to read the project context from fenbs and the graph. Confirm it can describe the relevant module relationships before giving it a structural change task.
- When a Graphify session changes your understanding of the codebase structure, record the finding in fenbs as a decision or context note, linked to the task it informed.
fenbs does not run Graphify or read code graphs. It holds the decisions and context notes that the graph helps produce. For understanding how Claude Code uses context generally, the Claude Code docs guide covers CLAUDE.md and session context setup. For a broader picture of how Claude Code handles large codebases across parallel sessions, the worktrees guide is the companion read.