Most developers use AI, but few build for it. Learn how to shift from traditional infrastructure to an AI-native factory by mastering agent integration.

Production AI success hinges on integration excellence rather than just algorithmic sophistication. The most valuable person in the room isn't necessarily the one building the model—it’s the API developer who knows how to integrate it.
Von Columbia University Alumni in San Francisco entwickelt
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Lena: You know, I was looking at some recent data from Postman, and it’s wild—nearly 90% of developers are using AI tools every day now, but only about 24% are actually designing their APIs with AI agents in mind. It feels like there’s this massive gap between just using AI and actually building the infrastructure that powers it.
Miles: It’s a huge disconnect, right? Most people think moving into AI means you have to go back to school for data science or start training massive models from scratch. But in reality, the "agentic shift" means the most valuable person in the room isn't necessarily the one building the model—it’s the API developer who knows how to integrate it.
Lena: Exactly! It’s less about the algorithms and more about the integration excellence. So, let’s break down the roadmap for transitioning from a traditional platform team to an AI-native product factory.