Joel Hron

I mean...

Yeah, if you can get past the fear of looking at a CLI as a non-engineer, then it's really, really cool.

Yeah.

You know, it's really hard.

Even like I mentioned Microsoft and like we touch a lot of Microsoft systems today just internally.

But even that's not comprehensive.

Like just a lot of things that I do day to day that are outside that ecosystem.

Yeah.

And so it's not particularly easy.

Like I said, context is king for these models, but actually context is really hard.

You carry a lot of context around in your brain that you probably don't even realize that you're carrying around.

And it's hard to catalog the list of all of those things to give to an AI model because it's a longer list than you might expect if you really think about it.

Well, I'll tell you, like when I think about hiring and talent and building out my team, there's like one skill that or maybe like quality, I would say I don't even know if it's a skill that I have indexed on more than anything.

And that would be adaptability.

Like you talk about the pace of technology changing and, you know, designing systems that are future proof.

I think that's impossible.

I don't think you design something that's future proof.

I think you learn how to adapt really quickly.

And I think people that have, whether it's natural or learned, like a mindset or capability for adaptability.

And maybe there's an element of humility there as well, which is to say, like, you know, I always need to be curious about learning the next thing.