Can AI design circuit boards yet?

amelius

I'm excited by the option in Astra to route PCBs. The next pain-point is sourcing the components from Digikey, LCSC, etc., and finding suitable substitutes if necessary. Of course this assumes the LLMs can already read datasheets because that's the biggest pain-point in designing electronics. It's like filling out tax forms. Finally it would be great if LLMs could extract simulation models from datasheets!

AdriaanvRossum

I know a startup [1] that tries to accomplish this. [1] https://www.schematik.io/

dubbie99

I have found that AI is great for sorting out your libraries, drawing and helping double check footprints managing your BOM. I still draw my schematics and layout my boards. I haven’t found it any good for those tasks yet. There are too many stupid errors it makes. I do get it to review my work though and often it catches things I have missed.

rpcope1

Just as some anecdatum, I've tried this a couple of times over the last few years. 2024-2025, no body could generate anything of any sort of complexity, however maybe around the Opus 4.7 timeline, I tried having it generate some relatively simple and one slightly more complex circuit around 8-bit PIC micros, and was very pleasantly surprised. The schematics for simpler stuff is usually OK, often with some of the kind of crazy belt-and-suspenders stuff you see in code (how many decoupling caps do I actually need here, Claude?), and PCB layout has basically been terrible every time I've tried it. Recent models can generate mostly competent schematics if you're using well known parts, feed them data sheets (and you _must_ feed them the errata too) and it's not too complex. Any complexity analog or RF, everything falls down quickly if you know what you're looking at. Maybe Astra will do better? There's still so much implicit knowledge that a good designer (not me by a long shot, but I know a little) will bake into a board, and even as cheap as JCLPCB is now, you don't want to have to spin a half dozen revs because Claude or Codex hallucinated. It will be genuinely interesting to see what happens on this front.

cmiles8

Have tried this a few times. While AI has been helpful in talking through component choices and other topics, it’s consistently been a spectacular fail each time in actually designing the board. I’ve had similar results asking AI to design 3D models for 3D printing. “Coach me on optimizing error on my printer”… helps. “Build me a print ready file to these specs.”… it’s like a drunk cat attacked my computer. Just confidently puts out total nonsense.

andrewchambers

I think the new Astra computer use demos show that the models might be able to do things like inspection of real world objects if given a camera. Super excited to see real world feedback added into the agent loops we have gotten used to working with. Could you let the model print and test the circuit boards it is prototyping with a jig?

dennis16384

If you give it a real solver to drive and business constraints to operate under, it will do pretty good job (which is to map your business rules to constraints and balanced costs, develop deterministic tests, probabilistic tests, acceptance gates, all boring stuff).

boznz

I have tried to use AI on this from GPT3, documenting a few of the attempts on my blog. They know the datasheets and the theory enough to be extremely useful at the start, but the most recent ones are becoming scary good. Routing a PCB is certainly a bit more than joining some wires, you have to accommodate power traces, ground loops, component overlap and all the various RF tricks and tips, but I do believe we are less than a year from prompt to full assembly including enclosure.

itomato

I got a flexpcb that validates in JLC and PCBWay DRC tools from the KiCAD MCP Server and Codex. I have yet to order any or program it, but it was enough to make me push on with a PCB art project for ST-style guitar pickguards - no netlist, no problems. I'm also foolishly toying with NeXTBus dev boards for the Cube. Is it cursed? Probably. https://github.com/itomato/NeXTBus-Dev-Board

goosethe

the answer is a resounding yes: https://github.com/seanwevans/pynq_butterfly

CyLith

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 fairly impressed.

Anil0809

Yes — this is already possible to a useful degree. I’ve been using tscircuit, where you can describe circuits in code and use AI agents to generate and iterate on schematics and PCB layouts. I’ve seen designs from this workflow go all the way to fabricated, working hardware.

krupan

I'm confused. Who made this benchmark and why? It is fascinating to me that people are putting this much work into trying to measure and evaluate LLMs when we've never gone to this level for humans. Sounds like they also built a harness/feedback loop so the LLM knows if it's doing a good job? Again, why didn't anyone ever do this for human engineers?

ChrisMarshallNY

Interesting. AI may be pretty good at managing the gazillion different things that make up circuit boards. Frankly, I am surprised that it isn't already a solved problem, as we've had silicon compilers, for many years, and I always figured that IC design is more difficult than PCB.

CamperBob2

Works very well with EAGLE XML files, especially if you give it the EAGLE.DTD schema that CadSoft provides. Both .sch and .brd files can be extensively manipulated by Claude (and likely everybody else at this point.)

PennRobotics

At the very least, you can (and probably should) put a plaintext netlist and BOM into an LLM to triple-check your work. It will use the part datasheets and decent EE logic to cross reference pins and parts and polarities and generally check that SMD caps and resistors have realistic specifications for their footprint, switching regulators and communication ICs are configured correctly (e.g. when you have resistor settings for an ethernet PHY indicating 100Base-T and RMII, you also won't need TX/RX 2 and 3 and two clocks and a COL net, which it would check), all nets are named and linked correctly, buses have the correct and consistent termination, and so on. It's game over once AI figures out autorouting.

mschuster91

The submission reeks of LLM tells (especially the "UI" just looks straight like the usual Claude slop). Anyway... the posed question reminds me of an anecdote I cannot find because Google is contaminated to hell and beyond, some researchers a decade ago let a machine-learning algorithm loose on an FPGA, and it "found" a design that worked but made no sense, because it exploited unique physical features of this specific chip.

alex7o

I have a circuit board on my bench designed and ordered from china for 1h (manufacturing+ shipping took 14days), fable designed it I think or sol don't remember anymore but it was in claude code. I told it to benchmark different kicad autoroute tools and I picked the routes I liked the best, with a bit of changes. It feels like magic to be able to go from idea toa physical thing in such a short amount of time. The board works I made some mistakes the ai had made some mistakes but mostly stuff I could fix with some soldering, also one parts datasheet was wrong but I couldn't have known that without ai. But I started like others, I would build manually, then run drc then sleep on it and check again and ask an llm to double check for me then order. Llms catch quite a few things but like with code like to make things more complicated than that have to be.

saejox

Someone will create a self replicating robot factory soon. All robots designed by robots. Likely a crazy youtuber first

sillypuddy

Is this basically what https://www.diode.computer/ is doing?