I am not expecting novel solutions from LLMs. I purely use them as a tool in my tool belt. Some examples: Deciphering spaghetti code: LLMs generally are prett

I am not expecting novel solutions from LLMs. I purely use them as a tool in my tool belt. Some examples: Deciphering spaghetti code: LLMs generally are pretty good at picking apart code blocks and generally explaining the functional parts. A while ago I was dealing with code that had lots of methods on single lines with tons of conditions. I put in in chatGPT, asked it to go over it and it gave me a point by point explanation of all the logic in there. Again, I don't expect it to be perfect here, it doesn't need to be. The way my mind works once I have the explanation I can much easier go to the single line mess and follow it along. If chatGPT messed up I will see that, but I will also be much further along already with deciphering as I would have been doing it manually. Getting a quick start on technology, specifically if it is something I know I will only need to know once it helps me avoid tedious google searches. Instead I get a pretty decent rundown of whatever it is I need to know as well as some basics. In short, I don't they are miraculous technologies transforming my work. But, they are pretty good at removing some of the more tedious tasks letting me focus on other things. So they do make me more productive in that aspect.