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Can AI design circuit boards yet?
201–210 of 221 posts
Re: Can AI design circuit boards yet?
#202[dead]
Re: Can AI design circuit boards yet?
#203A 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,…
You can express a circuit as a graph, and many schematic formats are plaintext. Same goes for the Gerbers which are an ASCII format used to describe the masks that are used to define the PCB traces. The models are trained on a lot of academic information about how circuits work, most component datasheets are public and they've sucked up all sorts of niche greybeard advice from internet forums.
A huge advantage of electrical design is that the connectivity is testable with Design and Electrical Rule Checks (DRC/ERC). I suspect you could even tell the models to run physics checks on the traces that are important for things like crosstalk.
Re: Can AI design circuit boards yet?
#204Earlier quoted context omitted.
As someone without PCB design experience but with dreams of physical things that could be made with PCBs this sounds amazing. What software are you using for the PCB design? Or just entirely letting Fable do whatever and checking the work with the browser page you mention?
The designs are in Kicad format, and the Kicad APIs are useful for Claude to work with. I would say that right now this involves a lot of knowledge about PCB design to do well, or for more detailed designs. However you might research how to design board for fabrication at JLCPCB and try something simple. Eg make a board with only LEDs in some pretty pattern and make it so you solder a raspberry pi Pico 2 to the board…
I'd like the AI to do the schematic for me, as I always worry I've missed some decoupling capacitor or something. I can do the routing myself (I like routing). It would also be good if the AI could fill in all the LCSC identifiers for assembly. Is that doable nowadays?
Re: Can AI design circuit boards yet?
#205Earlier quoted context omitted.
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?
NP-complete means that it's easy to test if we're right, but because of that complexity we can't always find a valid solution to test within a predictable period of time. Both circuit board routing and computer vision are variations on the same fundamental problems. Once we solve we, we solve the other. However, when I was growing up most serious computer scientists believed that CV (computer vision) was a 'hard' pro…
In your opinion, do you think ai can make eutorack modules by now? This is what I am waiting for: explain an idea to an ai, and sending the files to jlpcb to receive a complete working module (minus some THC soldering)
Re: Can AI design circuit boards yet?
#206Earlier quoted context omitted.
As someone without PCB design experience but with dreams of physical things that could be made with PCBs this sounds amazing. What software are you using for the PCB design? Or just entirely letting Fable do whatever and checking the work with the browser page you mention?
The designs are in Kicad format, and the Kicad APIs are useful for Claude to work with. I would say that right now this involves a lot of knowledge about PCB design to do well, or for more detailed designs. However you might research how to design board for fabrication at JLCPCB and try something simple. Eg make a board with only LEDs in some pretty pattern and make it so you solder a raspberry pi Pico 2 to the board…
Will it improve already routed board? I have one done ages ago. Works fine, but RAM can only do roughly a half bandwidth because of poorly laid traces. Could I tell AI to reroute them according to best practices?
Re: Can AI design circuit boards yet?
#207Earlier quoted context omitted.
Where LLMs completely break down is the next step, PCB routing. No. Take a look at https://www.eevblog.com/forum/eda/claude-code-for-pcb-design... . Fable did that by working directly on an EAGLE .brd file (well, "directly" by writing a Python program to do it, but still.)
That is indeed impressive, but at least the excerpt given from the layout seems very easy to route, due to high regularity and an ample routing channel. Even so, there remained some "dozens" of unrouted traces, which are likely to be much more difficult to route, after the easy traces have already occupied the space. Many decades ago, I have written a PCB routing program, which would have routed the example shown at…
How long did it take to write your routing program? This one probably took five or ten minutes.
Re: Can AI design circuit boards yet?
#208What I would love is an ai that can reverse engineer a circuit board from close up pictures. Unfortunately all the models are lagging behind in visual understanding, especially for this kind of specialized work
Most circuit boards have many layers that aren't visible in pictures so I'm not sure what you're asking for is generally 100% doable.
That said you can guess a lot by the components and what's visible. I'll bet you that if you added a layer that recognizes the components, their position, orientation and visible connection and emits that as a JSON or some machine readable format the frontier models would be really good at telling you what's going on and even potentially filling in the blanks.
Re: Can AI design circuit boards yet?
#209Earlier quoted context omitted.
You fell for the stochastic parrot meme and next token over simplification. That's the explanation.
That's just derision, not an explanation. And it's a bad way to treat someone humbly trying to learn.
I'm just surprised that so many intellectuals on HN hang on to false models of reality for so long after that reality has been demonstrably destroyed. It's not humble at all. In fact it's the opposite, completely arrogant and stubborn. It's been obvious and demonstrated at least since the end of 2025 for anybody that used LLMs at any capacity without dismissing them. If you are still surprised that your model of reality doesn't hold up, then someone needs to bluntly tell you what's wrong at the core of your being.
Notice the original comment is asking people to validate their false premise about next token prediction.
The deeper subtext of the original comment is that they are surprised that there's dissonance from observed reality and this false premise that they have convinced themself is true.
I'm explaining that dissonance because it doesn't matter what the actual mechanism is if they are still working with their false premise. The dissonance exists because they, without evidence and a very weak understanding of how LLMs work, believed an oversimplification and meme about them being stochastic parrots. Here's a tip: Just because you hear something repeated over and over on social media, doesn't mean it's true, or at the very least: you don't need to take it literally to the point where it conflicts with demonstrated reality.
It is deeply disturbing that such a large cohort of HN writers and redditors exemplify such stubbornness, because I must imagine that some of this cohort hold real positions of responsibility within society. If you can't get this simple thing right about reality, I firmly believe much of your model of reality is wrong and you should have no business shaping society.
Another comment to the original comment frames it perfectly: "At what point do you challenge your own assumptions?"
The author of the original comment has demonstrated no progress towards making this trivial act of self reflection. It's straight up intellectual dishonesty, the opposite of how you're framing it.
Their judgment in all other matters must be questioned as well. I am alarmed that I have to participate in the same reality and be affected by such people that can't seem to get it together.
So yes, it is derision and sometimes that's called for.
Re: Can AI design circuit boards yet?
#210A 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,…
> next token prediction
Saying that LLMs just produce the next token is like saying that human brains just produce the next electrical impulse. If the algorithm that produces the next token (or electrical impulse) is complex enough, it can do anything that is in principle computable.