I can see the benefit of this kind of use case, because LLM‘s are good at summarizing large data sets. It can be a good starting point for learning about something new or rubber ducking. But, if that’s your use case, why would you even need or want an agent hooked up to your environment to allow it to commit or create PRs?

So kind of like a personalised learning assistant? I realise it's different but this inverted instruct approach puts me in mind of Doctorow's reverse centaur!

Don't you find that the links you get are hallucinated though? Even if they're not now you can imagine this collapsing into slop echoes...

I've tended to ask for examples to help me bootstrap new projects. A bit like getting customised docs. I certainly haven't had enough success with generated code to think about automatically adopting it.