[dns_snek]

> I find it as a shortcut to debugging. I see it as, I can spend 2-3 hours googling stuff, or I can spend about 45 minutes talking to gpt to pin point the bug and come up with a viable solution.

This raises some questions for me. When I say I'm "debugging", I'm usually stepping through the execution of my program and constantly analyzing how results that my program is producing differ from my expectations.

I don't know anything about your bugs to be able make any general claims, but are you sure that your 2-3h of "googling stuff" that were reduced to 45 minutes of "talking to gpt" couldn't be reduced to 5-30 minutes of using a real debugger to find the error?

It takes a lot of practice to develop debugging skills that allow you to efficiently and methodically track down most common bugs. Delegating the thinking part of that process to a LLM sounds like a crutch to me.