alt Hacker NewsAdafruit probably did a review of AI PCB tools. I've used Flux.ai before; it was a pretty bad experience. After about 50-100$ in tokens a couple of times, I couldn't get more than a couple of simple components on the schematic. And not in sensible positions.
The product just grinds tokens for little return, in my opinion. I had far better luck wiring together KiCad MCP, SKIDL. There are some AI-driven autorouters out there now. Placement is probably the big issue that needs to be solved now. I could only get about 80% of what I wanted together with my hacky workflow.
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> There are some AI-driven autorouters out there now. Placement is probably the big issue that needs to be solved now.
Interesting that within an IC this is basically "solved", or at least properly automated with classical numeric techniques such as simulated annealing.
I would have thought there's a big opportunity in a mixed-technique approach, where you use AI to extract unstructured data from datasheets and then feed it into more deterministic tools.
I also note that it's very easy to waste more than $100 in electronics once you start actually manufacturing bad PCBs.
> After about 50-100$ in tokens a couple of times, I couldn't get more than a couple of simple components on the schematic.
Is this common? When I try out new AI tools, even as person who is financially independent, I load up maybe 10-20 USD worth of tokens, and if I don't get anything working from that, I literally give up and don't continue trying. If it can't do anything useful like "place a simple component on the schematic" after ~10 USD of expenditure, is it really worth continue adding more money into the platform? Seems DOA in those cases.
I tried this last week and had the same experience. It was terrible and they got $140 out of me before I realized what it was (not) capable of. Their support was nonexistent as well.
> I could only get about 80% of what I wanted together with my hacky workflow.
I literally did this yesterday with solid results using Codex CLI. I used xhigh thinking and gpt 5.5.
I had it use KiCad directly via cli rather than via MCP, and I did make Claude Opus review it's work after every round. I got what I think will be a working revision A in about 10 hours of tinkering spread over a few days.
> Placement is probably the big issue that needs to be solved now.
Would some sort of constraint-solving algorithm help with that? Something like (but not necessarily) Cassowary[0]? Maybe I'm misunderstanding what is meant by placement though; I don't have much domain knowledge in PCBs / electronics.
Same for my experience.
Legal counsel typing intensifies.
That's more money I have paid for (real) software (that are not games) in my entire life.
This is exactly my experience, wasted $60 trying to get it to make something. The founder sent an automated AI email about setting up a time to meet and go through it then ghosted me at the meeting time.