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've gone through this same workflow and had success all the way through DRC ruleset passing with JLCPCB-based settings, ordering, fab, and use.
Board was ordered with PCBA (they did assembly of the stock components) and I did SMD for just the oddball module/ICs they don't stock. Works exactly to design.
My boards are for hobby use and are ridiculously simple though compared to anything professional (breakout boards for specific components in FPV drone video transmission subsystems). That's probably an important detail.
I think its like anything else in AI right now. It can do it 90% of the time but that 10% can be really rough and if its a task you can't do or verify yourself, you won't know the difference.
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?
In June I was struggling with writing DIY Rust firmware for an e-ink screen. I mistakenly thought I'd ordered an Inkplate 5Gen2 and actually had the earlier version, which confounded my efforts. I was also mistaken about the pixel resolution.
The way I found this out is I propped it up next to a webcam so it was more or less full frame, and I had the (then new) Fable write a python script to bezier warp the camera capture to a flat projection of the screen. At that point I couldn't address the whole screen. Once I'd guided the capture script I just left the LLM overnight with the instruction to get full control confirmed by a capture round trip, and it was finished in three or four hours. I don't really have the skills to attempt that myself in a reasonable time frame.
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.
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.
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).
Really excited about constraint solvers making a comeback! Especially after seeing Z3 getting a mention in anthropics fermat post.
EEbench is using atopile's internal constraint solver for engineering parameters (think operating temperature, voltage ranges, stacked tolerances etc).
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.
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!
Routing is the easiest part of layout, and there have been auto-routers (which mostly worked) for a long time now; the difficult task is in placing components, and adjusting those placements.
Sure, I was just using "route" to mean also floorplanning because that's what Astra's routing tool also does. Not sure how they name it. Sorry if I was sloppy.
Not at all, but the term for routing and placing the components is ‘layout’. Floorplanning usually refers to the laying out of larger blocks of the circuit (with the blocks themselves already having been laid-out).
Mostly focused on BOM, schematics, and firmware now but slowly expanding to circuit boards if we feel we can deliver real value there. Early experiments with Astra are promising
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.
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
My boards are for hobby use and are ridiculously simple though compared to anything professional (breakout boards for specific components in FPV drone video transmission subsystems). That's probably an important detail. I think its like anything else in AI right now. It can do it 90% of the time but that 10% can be really rough and if its a task you can't do or verify yourself, you won't know the difference.
https://github.com/wjkennedy/stratopcb/tree/main
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?
The way I found this out is I propped it up next to a webcam so it was more or less full frame, and I had the (then new) Fable write a python script to bezier warp the camera capture to a flat projection of the screen. At that point I couldn't address the whole screen. Once I'd guided the capture script I just left the LLM overnight with the instruction to get full control confirmed by a capture round trip, and it was finished in three or four hours. I don't really have the skills to attempt that myself in a reasonable time frame.
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.
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!
Eurisko was used for VLSI chip design, then used rules discovered there to design TCS Traveler winning fleet.
It is unbelievable how artificial intelligence walk in circles.
[1] https://www.schematik.io/
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.