I do most of my work over SSH on big metal machines, maybe that's the disconnect? But seriously, there are few things in the world that matter less to me than how fast my laptop is. I did some real work a few weeks ago on a ten-year-old Celeron POS and it didn't bother me at all.
Yeah, I believe that's where the disconnect is. I moved from a Thinkpad to the 16in Macbook Pro with the M3 Pro chip, and I am able to reliably build and write code that runs locally on 5 different Docker containers, for at least 10 hours. I once did a 48hr hackathon with this laptop and I only had to charge it I think 4 or 5 times. I need to be very mobile as I'm going to different locations to attend meetings or write code, and it's able to do everything reliably for a (very extended) workday.
I would have to move from wall socket to wall socket on my old Thinkpad, but something to note is that I was using Windows 10 at the time. The Macbook's best-in-class (in performance-per-watt and per-kg) hardware combined with the software was something that became unbeatable for my workflow.
That being said, my next laptop will be a reliable, non-Apple, but Apple-like performance, ARM64 laptop, and I'll be using some Linux distribution on it.
One example could be a low-level programming language for a given PLC manufacturer, where the prompt comes from a context-aware domain expert, and the LLM is able to output proper DSL code for that PLC. Think of "make sure this motor spins at 300rpm while this other task takes place"-type prompts.
The LLM essentially needs to juggle between understanding those highly-contextual clues, and writing DSL code that very tightly fits the DSL definition.
We're still years away from this being thoroughly reliable for all contexts, but it's interesting research nonetheless. Happy to see that someone also agrees with my sentiment ;-)