Adam CAD Harness Integrates with Fusion and Onshape for Agentic CAD Editing

Adam (adam.new) has released a harness that natively integrates with Autodesk Fusion and PTC Onshape, allowing an AI agent to read and edit your existing CAD feature tree. The tool focuses on giving mechanical engineers full visibility and control, rather than being a black-box text-to-STL generator.
Key Features
- Model-agnostic: picks the best frontier model (e.g., GPT 5.5, Opus 4.7) from its internal benchmark per task.
- Lives inside Fusion and Onshape; reads the feature tree and edits it agentically.
- Common use cases: merge redundant features, rename features for readability, round all internal edges with a 2mm fillet, parametrize models, or generate CAD end-to-end.
- Leverages FeatureScript (Onshape) and Python (Fusion) under the hood.
Installation on Autodesk Fusion
One-liner install (recommended, ~10 seconds):
macOS: paste in Terminal
curl -sSL https://fusion.adam.new/install.sh | bash
Windows: paste in PowerShell
irm https://fusion.adam.new/install.ps1 | iex
After install: quit Fusion, reopen, press Shift+S → Add-Ins tab → find AdamFusion → click Run and tick 'Run on Startup'.
Manual install: download AdamFusion.bundle.zip, unzip, move the Contents folder into:
- macOS:
~/Library/Application Support/Autodesk/Autodesk Fusion 360/API/AddIns/(rename to AdamFusion) - Windows:
%APPDATA%\Autodesk\Autodesk Fusion 360\API\AddIns\AdamFusion
Then quit and reopen Fusion, enable via Add-Ins panel, and sign in with your Autodesk account.
Context
Adam’s earlier text-to-CAD work is open-sourced on GitHub. The team also notes that the Anthropic Autodesk connector validates the space but differs in being model-specific; Adam remains model-agnostic.
📖 Read the full source: HN AI Agents
👀 See Also

Building a Self-Updating Writing Style Guide for AI-Assisted Content
A team building a voice extraction platform called Noren has developed a 117-line Markdown style guide that rewrites itself after every published piece, using Claude to enforce rules and banning AI-sounding words like 'cadence' and 'optimize'.

Claude Plugins: Computer Vision, Multi-Agent Council, and Self-Debugging Workflow
Three Claude plugins were released: Computer Vision v1.7.0 for Windows app automation, The Council v3.1.0 for adversarial multi-agent consultation, and Upwork Scraper v0.2.0 for job market analysis. A demonstration showed Claude using these plugins to diagnose and fix its own Solitaire automation bug.

BrowserKing: Open-Source Chrome Extension for Browser Control via Claude and Other Models
BrowserKing is a free, open-source Chrome extension that lets Claude and 15+ other models see and control your browser from a side panel. It takes screenshots, sends them to the model, and then acts on decisions to click buttons, fill forms, scroll, and navigate tabs.

OpenClaw Multi-Agent Workflow Issues: Stalling, Context Loss, and Token Inefficiency
A developer reports OpenClaw multi-agent workflows frequently stall with agents hanging, experience context leakage despite custom documentation, and consume excessive tokens with no output. The setup used Gemini 3 Pro/Codex models with a COO orchestrator and specialized task agents.