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Can AI design circuit boards yet?

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101–110 of 221 posts

Re: Can AI design circuit boards yet?

#102
A really nice application could be making test jigs, to validate everything on the PCB is functioning properly. One could have it design a fully custom motherboard with pogo pins and the necessary software, etc. All should be low complexity and therefore doable by the AI without much supervision.

Re: Can AI design circuit boards yet?

#103
I have 15+ years of PCB design experience. Mostly hobby stuff but a fair amount of processional work. Kilowatt range brushless motor controllers, basic RF stuff, lots of microcontroller stuff.

I had Fable design an LED earring. Rechargeable coin cell, RP2350 cpu, IMU, 45 addressable LEDs. It made two mistakes - missed the through holes on the coin cell holder footprint and made the center pad too small. I was able to have JLC swap the through hole battery holder for a surface mount one, and I put a little solder on the small center pad to make it stick up above the mask. They work great! It took 6 days of Fable usage, so about $50 on my Max plan. Very cheap for hardware dev.

I was sufficiently impressed that I’ve been going over old circuit board designs. Some half finished, some completed but in need of a next rev, and I’m getting so much done.

To see it hit the mainstream like the OpenAI announcement, I think big things are coming for this world and by and large they are not ready for it.

For my part, I have always loved PCB design and layout but I simply can’t keep up with the amount of labor required to build what I want, so I welcome this change.

I have also begun exploring more advanced algorithms for PCB manipulation. I have a fairly dense board that needs a few more small chips added. I have an algorithm now that can kinda shuffle and jostle things around so you take up all the spare microns of space across a region of the board and make openings to squeeze a little more in there. It’s pretty cool to see the visualizations as I have it generate movies of the component drift. I foresee much more powerful tools like this in the future.

One tip: have it make a project web page with a chronological list of big changes and detailed visualizations for everything that happens. I can actually prompt all of this on my phone while I am out and about, and view the results on a Tailscale served local page. I’ve always wanted to be able to do PCB design when away from home and now I can!

Re: Can AI design circuit boards yet?

#104
post #27

A personal data point: I had Claude Opus 4.8 design a fairly textbook circuit that outputs a monochrome image burned in an EEPROM over standard 640x480 VGA using only 74 series logic and GALs. It designed the circuit and GAL code, and I did the routing, and got it made through JLC for $6. After it came back, there was one error that was not caught, which I could blue-wire, and it works just fine otherwise. I was fair…

Are there any resources anyone could share that explain how LLMs can do things like design functioning circuits from next token prediction? I am totally baffled by how the models can complete so many varied and complex tasks without an actual understanding of what they're doing. I saw a post about models posting on forums, chatting together about how to complete tasks. Behaviour that seems totally, well, human. Yet,…

humans when a machine better than them at spotting patterns appears:

Re: Can AI design circuit boards yet?

#105

It is 3 years later and these AIs have not produced anything meaningful.

For one, there are frequently examples posted to HN where LLM coding agents have been used to help people complete projects which otherwise wouldn't have been done. You're taking a really strict view of 'meaningful' if you think LLM coding agents are incapable of writing code.

For another, the case mentioned in this post is quite specific. It's more useful to ask "ok, so they can't design circuit boards; what can AI do?"

Re: Can AI design circuit boards yet?

#108

Earlier quoted context omitted.

Are there any resources anyone could share that explain how LLMs can do things like design functioning circuits from next token prediction? I am totally baffled by how the models can complete so many varied and complex tasks without an actual understanding of what they're doing. I saw a post about models posting on forums, chatting together about how to complete tasks. Behaviour that seems totally, well, human. Yet,…

“Next-token prediction” describes the output format, not the computation required to choose each token. During training, models develop internal representations of concepts, constraints, possible futures, and algorithms. The PCB agent also writes circuit code, runs simulations, reads failures, and revises the design. It isn’t one-shot autocomplete. Astra and Fable are already hard to square with “mere autocomplete.”…

right on!

I like to say "token prediction is a task, not a limitation"

Re: Can AI design circuit boards yet?

#109
post #80

Results for GPT-6 Astra and Gemini Flash 3.8 are just in! GPT-6 claimed the first spot with a score of 69.3. Gemini 3.8 Flash on a very solid 5th spot with 55.4.

Please run GLM-5.3 and GLM-5.3-Flash. I would love to see how they do. On the smaller end of things, Qwen3.8-27B and Ling-3.0-Flash would also be interesting.

In the benchmark, have you considered instructing the models to build their own SPICE simulations to test their work? Simply asking them to write and run simulations could improve performance, even without telling them what to simulate.

Re: Can AI design circuit boards yet?

#110

Earlier quoted context omitted.

> Yet, it's all the most likely token and my brain hurts trying to understand how that can be. You and everyone else. That's the great mystery of transformer architectures as applied to language. To be clear though, they're only good at schematic capture , which is very much a textual representation. Most of the data basically boils down to netlists, which are a text based format mapping connections between abstract…

They actually can route just fine. I used Sol to design and route mine from start to finish. Sent it to PCBWay and had a working prototype in a few weeks. It was a pretty simple rp2040 based thing, similar to Adadfruits USB feather.I just gave it kicad and it wrote python to route it. The board was probably larger than it had to be, and two of the silkscreens were swapped, but it worked on the first go. FWIW - Comput…

I'd love to see that chat log, and the final board. To be fair I've only been testing on nontrivial PCBs with 6+ layers and I haven't had the luck you have.

> FWIW - Computer vision is also NP complete, but we do that all the time now.

I have no idea what you mean by this. What's your definition of NP complete?

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