agentleFS
LIDR-academyLIDR-academy/AI4Devs-LTI-extended/.cursor/rules/codegraph.mdc

AI4Devs-LTI-extended / rules

Cursor rule278 starsChanged 6 months agoMITView on GitHub

CodeGraph MCP usage guide — when to use which tool

We split this codegraph.mdc into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use codegraph for structural questions — what calls what, what would break, where is X defined, what is X's signature.

    line 12
  2. Very specific:

    Don't grep first: when looking up a symbol by name.

    line 29
  3. Very specific:

    Don't chain codegraph_search + codegraph_node: when you just want context — codegraph_context is one call.

    line 30

≈ “Common” is an estimate: at least 1 in 5 of the 6,350 Cursor rule files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
codegraph.mdc
---
description: CodeGraph MCP usage guide — when to use which tool
alwaysApply: true
---
<!-- CODEGRAPH_START -->
## CodeGraph

This project has a CodeGraph MCP server (`codegraph_*` tools) configured. CodeGraph is a tree-sitter-parsed knowledge graph of every symbol, edge, and file. Reads are sub-millisecond and return structural information grep cannot.

### When to prefer codegraph over native search

Use codegraph for **structural** questions — what calls what, what would break, where is X defined, what is X's signature. Use native grep/read only for **literal text** queries (string contents, comments, log messages) or after you already have a specific file open.

| Question | Tool |
|---|---|
| "Where is X defined?" / "Find symbol named X" | `codegraph_search` |
| "What calls function Y?" | `codegraph_callers` |
| "What does Y call?" | `codegraph_callees` |
| "What would break if I changed Z?" | `codegraph_impact` |
| "Show me Y's signature / source / docstring" | `codegraph_node` |
| "Give me focused context for a task/area" | `codegraph_context` |
| "Survey an unfamiliar module/topic" | `codegraph_explore` |
| "What files exist under path/" | `codegraph_files` |
| "Is the index healthy?" | `codegraph_status` |

### Rules of thumb

- **Trust codegraph results.** They come from a full AST parse. Do NOT re-verify them with grep — that's slower, less accurate, and wastes context.
- **Don't grep first** when looking up a symbol by name. `codegraph_search` is faster and returns kind + location + signature in one call.
- **Don't chain `codegraph_search` + `codegraph_node`** when you just want context — `codegraph_context` is one call.
- **`codegraph_explore` is the heavy hitter** for unfamiliar areas — it returns full source from all relevant files in one call, but is token-heavy. If your harness supports parallel subagents (e.g., Claude Code's Task tool), spawn one for explore-class questions to keep main session context clean.
- **Index lag**: the file watcher debounces ~500ms behind writes; don't re-query immediately after editing a file in the same turn.

### If `.codegraph/` doesn't exist

The MCP server returns "not initialized." Ask the user: *"I notice this project doesn't have CodeGraph initialized. Want me to run `codegraph init -i` to build the index?"*
<!-- CODEGRAPH_END -->

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.