> 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.
That precise mixed technique approach has worked well for me. I’ve been using JITX (python based circuit design with a powerful auto router). Free for personal use, and has been discussed a few times here in HN.
Edit: it’s almost assumed at this point but for completeness Claude / Codex were the ones driving the OO python code and datasheet research and parsing.
Until a few years ago it was generally understood that useful "creativity" involves solving problems within constraints, e.g. something a lot like SAT or SMT in spirit even if not in the details.
Then we got LLMs which will make a good parody of anything and occasionally get it right.
It is far from solved in IC, synthesis tools sometimes still do really stupid things and there's still quite a lot of hand-holding required to get to a working chip.
Within an IC you don't have large obstructions for metal layers, distances are short, and buffers can be inserted at will to manage SI.
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> mixed-technique approach
I think my biggest annoyance with the way we rolled out AI is that nobody seemed to want to use it to augment already working solutions.
Just throw everything out and have an LLM do it instead.