Having a chat with chatgpt may give you clues or ideas when you have gone throught your own checklist of what could have went wrong, but can go only as far.
Agent on the other side will decompile .dll to find out issues if needed to go deep enought.
Applying the actions is unsolved. Unless you YOLO the LLMs, taking stateful actions automatically requires a lot of protective infrastructure, solid testing infra etc.
It’s all just more code, but a “create me a shopping website” LLM is likely not going to be doing the infrastructure level thinking required to handle it for now.
Quite safe, and already a force multiplier - this would be a harness. Maybe have it be able to write to a shadow system with similar (ideally same) hardware to verify it's hypothesis on how the system works, etc...
Also even with agents, you can't just try and error your way out of some (most) of the problems I encounter without doing harm if the solution fails.
Might be different if used for infrastructure as code or ansible or some such. That I can see.