Could you elaborate?

I think I know what he means. I use AI Chat. I load Qwen2.5-1.5B-Instruct with llama.cpp server, fully offloaded to the CPU, and then I config AI Chat to connect to the llama.cpp endpoint.

Checkout the demo they have below

https://github.com/sigoden/aichat#shell-assistant

I just run llama-cli with the model. Every time I want some "awk" or "find" trickery, I just ask model. Good for throwaway python scripts too.

Can it do 'sed'?

I think one major improvement for folks like me would be human->regex LLM translator, ideally also respecting different flavors/syntax for various languages and tools.

This has been a bane of me - I run into requirement to develop some complex regexes maybe every 2-3 years, so I dig deep into specs, work on it, deliver eventually if its even possible, and within few months almost completely forget all the details and start at almost same place next time. It gets better over time but clearly I will retire earlier than this skill settles in well.

have not tried yet. any specific query? I can try.

What's your workflow like? I use AI Chat. I load Qwen2.5-1.5B-Instruct with llama.cpp server, fully offloaded to the CPU, and then I config AI Chat to connect to the llama.cpp endpoint.