One thing I will agree on though is that LLMs make it easier to iterate or try ideas and see if they'll work. I've been doing that a ton in my projects where I'll ask an LLM to build an interface and then if I like it I'll clean it up and or rebuild it myself.

I doubt that I'll ever use Figma to design, it's just too foreign to me. But LLMs let me work in a medium that I understand (code) while iterating quickly and trying ideas that I would never attempt because I wouldn't and be sure if they'd work out and it would take me a long time to implement them visually.

Really, that's where LLMs shine for me. Trying out an idea that you would even be capable of doing, but it would take you a long time. I can't tell you how many scripts I've asked ChatGPT or similar to write that I am fully capable of writing, but the return on investment just would not be there if I had to write it all by by hand. Additionally, I will use them to write scripts to debug problems or analyze logs/files. Again, things that I am perfectly capable of doing but would never do in the middle of a production issue because they would take too long and wouldn't necessarily yield results. With an LLM, I feel comfortable trying it out because at worst I'd burn a minute or two of of time and at best I can save myself hours. The return on investment just isn't there if it would take me 30 minutes to write that script and only then find out if it was useful or not.