Reshef

90 posts

Reshef

Reshef

@Reshef_

atoms to weights and everything in between... "building something new"

SF เข้าร่วม Ekim 2012
415 กำลังติดตาม368 ผู้ติดตาม
Reshef
Reshef@Reshef_·
Feature request: It would be trivial to make this popup list the tapping config and give forgetful people like me one last chance to review. @jimbelosic
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Reshef
Reshef@Reshef_·
Claude can actually do CAD now in @Onshape Here it worked for an hour and built a 4-part monitor arm, starting only from a sketch and description. The trick was to give it the tools to look at its own work. Introducing: Jarvis Onshape MCP
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Reshef
Reshef@Reshef_·
@fhitch11 Nice! send over any feedback or PRs
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Wind宸宸
Wind宸宸@fhitch11·
@Reshef_ bro,i've been using it for a day and it feels great.
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Reshef
Reshef@Reshef_·
Everyone asking about constraints... Yes, it can!
Reshef@Reshef_

Claude can actually do CAD now in @Onshape Here it worked for an hour and built a 4-part monitor arm, starting only from a sketch and description. The trick was to give it the tools to look at its own work. Introducing: Jarvis Onshape MCP

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william
william@wgussml·
@Reshef_ hey man would love to get in touch ur dms are closed
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Reshef
Reshef@Reshef_·
@MikushRab Awesome work, the NIST dataset is hard! If you haven't yet, try Model Mania, I found that it's a bit easier for the agent. What kind of info is in the rendered validation?
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Michael Rabinovich
Michael Rabinovich@MikushRab·
Can frontier language models turn a technical drawing into real CAD? We ran the experiment. Gemini 3.1 Pro, Claude Opus 4.7, and GPT-5.4 got a set of technical drawings and were asked to reproduce a part as a valid 3D CAD model. Still a far way to go, but clearly a sign of life.
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Reshef
Reshef@Reshef_·
@Orwelian84 @Onshape Conversation: 467K, but real usage was 85M Tok. Every turn re-reads the prefix cache, so 331 turns got VERY hungry. Even on Max 20x, it's a lot. Notice the input is only 688 tokens, that's what I actually gave the model, the rest is automatic
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Reshef
Reshef@Reshef_·
@Principal_Jon @Onshape Yes! Would recommend you try and run this, or something like ADAM CAD (same idea as this project). It makes 3D-print-ready files
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Principal Jon
Principal Jon@Principal_Jon·
@Reshef_ @Onshape I mean...I'm an AI noob, but does this mean, I can easily create 3d print files too? that would be extremely useful.
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Reshef
Reshef@Reshef_·
@JGoodwillieV @Onshape Yeah it's pretty token-hungry. Lots of images being used for renders, and the work can take lots of turns which eat up cache context tokens
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James Goodwillie
James Goodwillie@JGoodwillieV·
@Reshef_ @Onshape I found that it churned through API credits when I tried. Also used Adam AI for it and tried that and unless plugged into claude it didn't work well at all.
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aegrabs
aegrabs@aegrabs·
all blue sketches
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Reshef@Reshef_

Claude can actually do CAD now in @Onshape Here it worked for an hour and built a 4-part monitor arm, starting only from a sketch and description. The trick was to give it the tools to look at its own work. Introducing: Jarvis Onshape MCP

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Reshef
Reshef@Reshef_·
@coreyward I'm planning on it! Gemini's tool use is less advanced so trying to combine Claude's tools and Gemini's vision. I use Gemini for all my CAM advice already. More coming soon...
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Corey Ward
Corey Ward@coreyward·
@Reshef_ You should try it with Gemini. For whatever reason, Google models are much better at interpreting images (maybe their significant experience with image understanding pre-LLMs?), so it might work better even with a model that isn’t as strong with code.
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Reshef
Reshef@Reshef_·
@CRudinschi @Onshape Yesterday we used it to make a two-part camera mount, which it got right in one prompt and we then 3D printed and used. It's still highly dependent on vision model capability to succeed, but the CAD feature complexity is the "easy" part
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Carolina
Carolina@CRudinschi·
@Reshef_ @Onshape Impressive to see Claude turn sketches into an actual monitor arm, curious how well it handles larger assemblies with multiple parts
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Reshef
Reshef@Reshef_·
Full writeup with benchmark data: I tested Claude on a dozen reference parts. The (un)surprising result is that the bottleneck isn't CAD execution, it's image understanding. Once you describe a part cleanly, the model builds it reliably. reshef.io/a/20260420_ons…
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Reshef
Reshef@Reshef_·
Try it yourself: /plugin marketplace add ReshefElisha/jarvis-onshape-mcp /plugin install jarvis-onshape-mcp Or: github.com/ReshefElisha/j…
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Reshef
Reshef@Reshef_·
They should add a way to honk at your own waymo
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