Comment by wizzz
1 year ago
I believe your examples are - unironically - misleading.
1- he states that the generated code is most likely wrong. He is appreciative of it though because he is a very poor typer so he doesn't have to do that part as much
2- so that's not supporting your argument that the 'top' devs are using it. Besides it doesn't say how it's counted, nor how much time is spent reviewing and correcting it
3- actually okay. But is he using it for production code? Doesn't say
4- he definitely doesn't talk about coding, only brainstorming and writing text.
5- your best one. Still, the use case here is side projects not production
You might still be right, I definitely do not compare myself to these people, but trying to glue some sources together makes a poor argument.
And the subject on hand is more that just using LLMs, it's the role of LLMs in the dev work environment
>You might still be right, I definitely do not compare myself to these people, but trying to glue some sources together makes a poor argument.
It makes a better argument then the bold and plainly wrong claim that no one is using them and its all just "a bunch of hubbub".
Yeah you are trying to make a better argument, but picking out-of-context references from random sources that actually goes against your point.
None of the 5 sources say that AI code generation is really making them more productive