“I feel like in a way, because of the training data and the training loops, there's more incumbency power. There's more staying power in software today. If you get inside the training data and you get the models to recommend a certain framework, I've heard people say, oh, I'm just going to use React for everything because agents are really good at it. I'm not going to try these new fancy front-end frameworks.”

It's actually changed like a lot less than I think I would have expected. It turns out agents, I mean, like in the early days, we built modal in order to give engineers a better developer experience and the ability to move faster. It turns out like agents kind of want the same thing. They want fast feedback loop. They want good error messages, good documentation, a lot of the stuff like that that engineers want too. So most of the stuff is actually quite similar. I do think it's like certain things a little bit harder. One of the things we found, for instance, like deprecations is much more annoying because agents are trained often on a lot of old code that exists online. So removing features is much harder for us. We can't just rely on remove it from the documentation and wait three months because it's in the training data. People will use LMs to generate modal code. And that will be using deprecated features. And that's quite hard to change. So we've had to change our deprecation window quite a lot. Another thing we've started doing quite a lot is also setting up a lot of automated pipelines to basically have LMs continuously write modal code and making sure it compiles and not compiles…