Live data from Hacker News

Show HN: AI CAD Harness

fusion.adam.new

71–80 of 108 posts

Re: Show HN: AI CAD Harness

#75
Obligatory mention of https://zoo.dev/ the leader in this space.

I will say I explored this reasonably deeply and came away with the conclusion that even though we have OpenSCAD and all these examples, LLMs are still very weak at spatial reasoning compared to diffusion models.

You can do all sorts of tricks like have a parts library to get around this and do physics checks but another inconvenient truth is whenever you design a complex assembly, every change to that part needs to be aware of the other parts in the design -- thus you need a global part-aware editing capability from diffusion.

That's getting solved already in china leading labs, and bottlenecked by the lack of good training data, which china is solving with mass labor.

This will be solved overseas first before we will in the US.

Re: Show HN: AI CAD Harness

#76
If Anthropic starts entering the engineering space, OpenAI and others may follow.

The key question is: why would your tool or harness perform better than the frontier model providers’ own native tools, such as Claude for Creative Work, if your product is only a thin layer on top of their model or their agentic system?

Similarly, why would your tool work better than a CAD company’s own agentic tool? For example, it would not be very difficult for PTC to add an Onshape co-pilot that calls the Claude Agent SDK, while PTC can also build more powerful internal tools/MCP servers for their own use without exposing them to external API users.

Re: Show HN: AI CAD Harness

#79
Most of the work in vertical agent tooling ends up in shaping the domain APIs, not the model layer. How are you handling errors the model can't recover from? Surfaced as tool errors for retry?
Post reply on HN