PS: Both humans and llms are hard to align. But I do have to discuss with humans and I find that exhausting. llms I just nudge or tell what to do
I find myself often discussing with an LLM when trying to find the root cause of an issue I'm debugging. For example, when trying to track down a race condition I'll give it a bunch of relevant logs and source code, and the investigation tends to be pretty interactive. For example, it'll pose a number of possible explanations/causes, and I'll tell it which one to investigate further, or recommendations for what new logging would help.
Often I find it easier to just do it myself rather than list out a bunch of changes. I'll give the LLM a vague task, it does it and then I go through it. If it's completely off I give it new instructions, if it's almost right I just fix the details myself.