I'll give a serious answer. The AI code completions are way faster and way easier to read for issues than me typing code out by hand. That's already a good 10-20% productivity boost right there for me.
Which I highly doubt for anything other than greenfield project. When you look at any mature open source project, it’s mostly small commits, but a large context is required in order to make these. If you’re in boilerplate land, becoming fluent in your editor and using snippets can bring a more advantageous boost.
No I work in a huge company and many of our systems are 10+ years old. I did have a lot of snippets but AI is good at handling new things I haven't seen before and wouldn't have had a snippet for yet. It's also great for extending configurations / large switch statements / etc. the kind of stuff you see in big codebases.
It's terrible when you get to complex code, but I'd rather spend most of my time there anyways
Supercool bro'! Show these luddites! See non-believers this one works at a huge company solving hard tasks. So again please teach us! How did you get the 10-20%? How did you measure it? What methodology? Control group? Is it 10-20 more projetcs done? Or profits!!??? I bet its profits!! This guy is living the dream!!!