I've seen a few discussions over the years about how niche languages like Lisp, Forth, Prolog, etc. would be great to use, but even for personal projects the lack of available packages makes them hard to use. However, with an LLM you can have it replicate whatever package you'd like from a more popular language. You can even port software to your favorite niche architecture. If you really want to run your homelab off a PA-RISC machine you just give an agent SSH access and tell it to make the software work.

For myself, I have only done very little of this. I did add POWER vectorization to POV-Ray so that I can get a little more speed out of a machine that has more power than it needs for other things. Instead of letting it use something like Python or Go for small scripts I'll tell the LLM that the more logical choice is Prolog. But mostly I have been using mainstream languages because the code is being generated and, therefore, I'm not playing with it, so I'm interested in hearing if others have had good luck with generating away the grunt work and allowing them to enjoy using tools that were not practical enough before.