Earlier quoted context omitted.
I do think Ed in intentionally ignorant of the capabilities of LLMs. But I also don't know that I would classify LLMs as 'wildly useful' for coding. Most productivity gains seem to be hallucinated, and while it's too early to make any claims on long term outcomes, there are plenty of studies indicating they might be even more negative. There are definitely use cases for LLMs in coding. And at times , they can be wild…
The studies you are talking about are probably outdated, it's difficult to deny the actual productivity boost of coding agents. I'm not talking about the quantity of code produced, but about actual user needs that are now resolved that would not have been before. The main productivity gain will not come from existing software engineer, but from people that couldn't code at all before but are now able to do things by…
Vibecoding hits a glass ceiling very quickly and this will not be solved incrementally. Besides, if the agent could work autonomously to that degree then it would no longer need any prompting at all and we’re living in a very different world. On the other hand that would make the debt actually meaningless, so I guess that is 'a' solution.