I find myself really appreciating what LLMs can do when it comes to help with software and tech support. I am a pretty adept PC power user who is not a programmer and (until recently) has only had a modest amount of experience with GNU/Linux. However, I have started to get into self-hosting my own FOSS apps and servers (started with OpenWebUI, now Jellyfin/Sonarr via Docker compose etc). I’m also reading a book about the Linux command line and trying to decipher the wold of black magic that is networking etc myself.
I have found that LLMs can really help with comprehension and troubleshooting. That said, lately I am struggling to get good troubleshooting advice out of my LLMs. Specifically, for troubleshooting docker container setups and networking issues.
I had been using Qwen3 Coder 480b, but tried out Claude Sonnet 4 recently and both have let me down a bit. They don’t seem to think systematically when offering troubleshooting tips (Qwen at least). I was hoping Claude would be better since it is an order of magnitude more expensive on OpenRouter, but so far it has not seemed so.
So, what LLM do you use for this type of work? Any other tips for using models as a resource for troubleshooting? I have been providing access to full logs etc and being as detailed as possible and still struggling to get good advice lately. I’m not talking full vibe coding here but just trying to figure out why my docker container is throwing errors etc. Thanks!
Note: I did search and found a somewhat similar post from 6 months ago or so but it wasn’t quite as specific and because 6 months is half a lifetime in LLM development, I figured I’d post as well. Here’s the post in question in case anyone is curious to see that one.
The coder model (480B). I initially mistakenly said the 235b one but edited that. I didn’t know you could customize quant on OpenRouter (and I thought the differences between most modern 4 bit quants and 8-bit was minimal as well…) I have tried GPT OSS 120 a bunch of time and though it seems quote unquote ‘intelligent’ enough it is just too talkative and verbose for me (plus I can’t remember the last time it responded without somehow working an elaborate comparison table into the response) and it makes it too hard to parse through things.
Totally. I think OSS is outright annoying with its verbosity. A system prompt will get around that
I tried that! I literally told it to be concise and to limit its response to a certain number of words unless strictly necessary and it seemed to completely ignore both.