Earlier quoted context omitted.
I am yet to have Google, Microsoft, Amazon or Facebook suggest that they’ve achieved 30% productivity gains from AI. Those are companies at the forefront of AI investment and if they haven’t achieved that kind of increased engineering productivity, I am ready to bet money on the fact that any other company claiming so hasn’t either. Even if 30% productivity gains are true, they are probably not because of AI. They co…
It depends on vertical. Large corps likely have some huge codebases of overengineered spagetti code, which are hardly comprehendable by LLMs. But if you want to build for example some new/smaller web/mobile apps talking to various API, LLM can boost your productivity significantly, because it will easily generate ready to use code snippets.
The whole thing it gets you then is “faster experimentation”, which was something that was /already fast/ if you use modern tools of the day. 1 week vs 2 weeks for a prototype app may build you more prototypes but it doesn’t help when you can’t scale them.
It does smooth some of the processes though - AI is maybe helpful for cognitive augmentation for coders, but it’s not going to be building you apps worth a damn.