[solidasparagus]

LLMs have dramatically different results depending on the domain. Getting LLMs to help me learn typescript is a joy, getting them to help me fix distributed consensus problems in my fully bespoke codebase make them look worse than useless.

Some people will find them amazing, some will find them a net negative.

Although finding truly zero use for them makes it hard for me to believe that this person really tried with creativity and an open mind

[mehh]

Very much this, I have > 25 years programming experience, but not with typescript and react, it’s helping me with my current project. I ignore probably 2/3 of its auto suggestions, but increasingly I now highlight some code and ask it to just do x for me, rather having to go google the right function/ css magic

[butlike]

Does that feel as rewarding as doing it yourself?

[mehh]

I'm fine with it, I've forgotten more frameworks and libs for now dead devices/services/OS etc over the years that it's largely pointless memorising these things, I'm very happy for a machine to help me get to where I want to be, and less time faffing about with google/stackoverflow the better, like I said the failure rate is still fairly high, but still useful enough.

[nuancebydefault]

> getting them to help me fix distributed consensus problems in my fully bespoke codebase make them look worse than useless.

Often the complex context of such problem is more clear in your head than you can write down. No wonder the LLM cannot solve it, it has not the right info on the problem. But if you then suggest to it: what if it had to do with this or that race condition since service A does not know the end time of service Z, it can often come up with different search strategies to find that out.