Hey HN! I m Zach from Adam (https://adam.new/).We re building AI agents for mechanical CAD software. We’ve built the company on two fundamental beliefs:- AI will be the primary medium for creating mechanical designs just like it is in software today.- The best paradigm for CAD generation is to generate CAD as code (text - code - CAD).We’re building CADAM, an open source Text to CAD platform. It s a React app (TanStack Start) with a Supabase backend for auth, database, and file storage. Think of it like AI TinkerCAD.Demo: https://www.youtube.com/watch?v=iESOr7EGWqk Try it: https://adam.new/cadam/What it does:- Generates parametric 3D models from natural language, with support for both text prompts and image references.- Outputs OpenSCAD code with automatically extracted parameters that surface as interactive sliders for instant dimension tweaking- Exports as .STL or .SCAD (plus OBJ, GLB/GLTF, FBX, and DXF)Under the hood:- One agentic endpoint with two modes that swap system prompts and tools: a parametric mode that writes/edits OpenSCAD via a build_parametric_model tool, and a mesh mode that generates 3D textured meshes.- Simple parameter tweaks bypass the model entirely; adjusting a slider does a deterministic regex update on the SCAD source, requiring no LLM call.- Model-agnostic via the Vercel AI SDK: Anthropic (Claude), Google (Gemini), and OpenAI/others through OpenRouter, with adaptive thinking auto-enabled on newer models. Surprisingly, in our evals Gemini 3.1 Pro is the top model.- Runs fully in-browser by compiling OpenSCAD to WebAssembly (in a Web Worker, so the UI never blocks) and rendering with Three.js via React Three Fiber- Supports BOSL, BOSL2, and MCAD libraries, plus custom font support (Geist) for text in modelsFuture improvements:- Support both build123d and CadQuery. This will allow us to move beyond CSG primitives to constraint-driven modeling and provide direct comparisons to other code-as-CAD primitives.- Better spatial context: UI for face/edge selection and viewport image integration to give LLMs spatial understandingYou can clone the repo and run it locally! Contributions are very welcome.