For me same experience but opposite conclusion. LLM saves me time by being excellent at yak shaving, letting me focus on the things that truly need my attention.
It would be great if they were good at the hard stuff too, but if I had to pick, the basics is where i want them the most. My brain just really dislikes that stuff, and i find it challenging to stay focused and motivated on those things.
Yep, I'm building a dev tool that is based on this principle. Let me focus on the hard stuff, and offload the details to an AI in a principled manner. The current crop of AI dev tools seem to fall outside of this sweet spot: either they try to do everything, or act as a smarter code completion. Ideally I will spend more time domain modeling and less time "coding".
> LLM saves me time by being excellent at yak shaving, letting me focus on the things that truly need my attention.
But these tools often don't generate working, let alone bug-free, code. Even for simple things, you still need to review and fix it, or waste time re-prompting them. All this takes time and effort, so I wonder how much time you're actually saving in the long run.
It would be great if they were good at the hard stuff too, but if I had to pick, the basics is where i want them the most. My brain just really dislikes that stuff, and i find it challenging to stay focused and motivated on those things.