Your repo already knows the architecture — let an AI agent read it and draw the diagram, instead of reconstructing it by hand
No sign-up required • Free to try
No drag-and-drop, no syntax to learn — write what the system is and the AI draws it with proper layout, icons, and labeled connections
Visualize Terraform infrastructure showing resources, modules, variables, and dependencies
Design Docker Compose setups showing containers, networks, volumes, and service communication
Common questions about architecture diagram from your code
Two ways. Paste what encodes the architecture — docker-compose, Terraform, dbt manifests, k8s manifests — and the AI reads it and draws. Or connect the Datadef MCP server to Claude Code or Cursor: the agent that already has your repo open drives the canvas tools directly and draws what it finds, using its full context of your code.
Diagrams-as-code (Mermaid, Structurizr, Python diagrams) still makes you write the diagram — in code. Here the source of truth is the actual application code, and the AI derives the picture from it. You review and correct a draft instead of authoring from zero.
That is the point of the MCP path: re-run the agent after a change and it updates the existing diagram; embed the live canvas in your README or docs and readers always see the current version instead of last quarter’s screenshot.
Signing up starts a 7-day free trial of every Pro feature. No card needed.