AI already writes your code.We make sure you still understand it.

1. 01 · Parse

   Each language's own parser reads your workspace: Python's ast, the TypeScript compiler API, java-parser, tree-sitter for C++. Each runs as a local process, and your code is never executed.

   1def checkout(cart):
   2    total = price(cart)
   3    bill = invoice(total)
   4    notify(bill)
   5
   6def price(cart):
   7    return cart.subtotal
   8
   9def invoice(total):
   10    return render(total)
   11
   12def render(total): ...
   13def notify(bill): ...

2. 02 · Derive

   Every function definition becomes a node, identified by file, name and line. Every call the parser can resolve becomes an edge. The same code always yields the same graph.

   {
     "nodes": [
       { "id": "app.py::checkout::1",
         "name": "checkout", "line": 1 },
       { "id": "app.py::invoice::9",
         "name": "invoice", "line": 9 },
       …
     ],
     "edges": [
       { "source": "app.py::checkout::1",
         "target": "app.py::invoice::9" },
       …
     ]
   }

3. 03 · Read

   The graph opens beside your editor. Click a node to jump to its definition. Save a file and the graph is derived again.

• No account, no CoGraph server.

  Analysis runs in local processes on your machine. There is nothing to sign up for and nowhere for your code to be uploaded to.

• Your code is never executed.

  The graph comes from static analysis. CoGraph parses your source files; it never imports, builds or runs your project.

• With AI off — the default — nothing leaves.

  The optional AI features are the only part that talks to a model, through your own CLI and account, and only once you switch them on.

AI writes the code. CoGraph is how your team still understands it.

Install the extension, open a folder, and run CoGraph: Visualize Project.