My, very limited experience with LLM assisted coding is that it depends... For basic frameworks done in something like Python it is very good, but not perfect, yet. But the iteration cycle to get to where you want to be is still faster than doing the whole job manually and I see this as a big win. For more esoteric fast changing languages/frameworks it has me chasing my tail in a chain of code updates where each fix…
"But it will get better, a lot better." I see statements like this a lot when talking about AI in general. People seem to think it is a foregone conclusion that no limit to LLM model improvement and capability exists. What causes you to believe this and what evidence do you have to back it up?
Now, about your comprehension skills, where is there any mention on my part of there being 'no limit'? In fact I go as far as to speculate on at least one.