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> If you poke through the user's history, this kind of thing isn't new for them, going back to pre-LLM-could-do-this days.

Is there another set of comments or history I should be looking at? The only pre-LLM comment is about doing a prototype for something with the old ESP32. That was a common hobby microcontroller introductory project, but there’s a world of difference between playing with an OG ESP32 and porting MMU Linux to a new platform.

I think we should be honest about what this is: Someone spent their tokens letting an agent attempt bring up of Linux on the platform and it got something to work. I’m appreciative that it was shared. However, given the lack of useful documentation (the key MMU doc is basically empty) and the lack of other explanations, I don’t think we should be reading more into this than as a pure LLM agent proof of concept.

by ofalkaed1 hours ago|

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It takes no effort to play LLM or not, you don't need to know anything about the topic or put anytime into reading and understanding the submission, just find that em-dash and you can turn every discussion into meta slop.

by tyingq57 minutes ago|

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I also think an LLM isn't going to just spit this all out and viola, it boots. I imagine there were many rounds of jtag debug, copy/paste into the LLM prompt, with enough human knowledge/context to say the right thing, suggest some existing implementation snippet, etc.

by Aurornis32 minutes ago|

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> I imagine there were many rounds of jtag debug, copy/paste into the LLM prompt

You may not be familiar with modern LLM tools.

You don’t need to copy/paste anything. You can easily instruct your agent to access the serial port and JTAG debugger and it will easily handle it through subsessions.

The tools have moved rapidly this year. Something like this is entirely doable by attaching the right cables, telling the agent where to access everything, and then keeping it fed with enough tokens to keep going.

There are some amazing projects doing reverse engineering or porting to micros fully automated. The results are still full of typical LLM output problems, but it’s amazing what can be brute forced with enough tokens in an LLM loop.

When I’m evaluating MCU platforms for new projects I’ll some times set an LLM loose on each to get a proof of concept running so I can do benchmarks or testing. It can save a lot of time finding showstoppers or roadblocks before I waste a lot of time on doing the problem correctly.