Same, I've been coding for 40+ years, and other people I know of similar length of time also seem real quick to adopt AI. I'm constantly having to show the young devs how to get the most out of their AI agents and also adapting my workflows regularly as things changes. Weirdly its some of the youngest who are most resistant, I think because they are learning coding skills, and just have got the hang of coding such that they are productive, and AI is coming in and taking that away from them largely, they are still keen to code. While I've enjoyed coding, realistically it's always been the bottleneck in creating software. A lot of the process is about how to effectively manage that bottle neck, now a lot more options are available. Iterating quick, trying different things, experimenting. Much easier to throw something away when you have better ideas.

> I am among the oldest on our team and also the most in tune with AI.

Congratulations. But you completely missed my point. I didn't say old people can't be in tune with AI.

> I see AI-native as those who have embraced it

That's not what the word "native" means. In the human language situation I referred to, it's about the language you learned first. It's not a synonym of proficient or fluent. If you learned to code first without AI tools, you are not AI-native by any definition I would understand, no matter how good at using AI you may be.

It's not just "English-native" that makes me think they have this meaning in mind. It's also the term "digital native" that gets thrown around a lot and is absolutely about how old you are. https://en.wikipedia.org/wiki/Digital_native

Except people who are learning to leverage it appropriately already know better than to generate important production code by "managing fleets of agents".