If you were to really measure speed improvement of notepad vs a tricked out IDE, it's probably not much. The problem would be the annoyance caused to an engineer who has to manually type out everything.
No, coding speed is really not the bottleneck to software engineer productivity.
> coding speed
> the annoyance caused to an engineer
No one said productivity is this one thing and not that one thing, only you say that because it's convenient for your argument. Productivity is a combination of many things, and again it's not just typing out code that's the only area AI can help.
The context here is AI assisted engineering and you raised the point that non-engineering productivity is more important for engineers, which I think is absurd.
You can have 10x engineering productivity boost and still complete work in the same amount of time, because of communication and human factors. Maybe it's a problem, may be it's not. It's still a productivity gain that will make you work better nonetheless.
I did not raise it, but what was raised was "coding speed": as in, the speed to type code into an editor.
That's not "engineering", but "coding".
Engineering already assumes a lot more than just coding: most importantly, thinking through a problem, learning about it and considering a design that would solve it.
Nobody raised communication or the human factors.
Current LLMs can indisputably help with the learning part, with the same caveats (they will sometimes make shit up). Here we are looking at how much they help with the coding part.
No, coding speed is really not the bottleneck to software engineer productivity.