AI Engineer World's Fair 2026 — unofficial import demo

Maintaining production systems involves a lot more than generating code. APIs are the interfaces between systems and that surface gets out of control fast, as endpoints multiply and new consumers come online. Once an API is in use, changing it becomes incredibly hard. We felt this acutely at Postman. As our engineering organization scaled and we leaned more on AI agents for day-to-day work, we kept hitting the same wall: agents that could write code struggled with what came next who's calling this endpoint, what conventions does the rest of our API surface follow, what breaks if we change this contract. The context wasn't in the code, so the agent didn't have it. So we built an API context graph a continuously updated view of our entire internal API landscape and gave our agents access to it. This talk is about what changed in our own engineering as a result: how API design got faster and more consistent; how discovering and integrating with internal services stopped being detective work; how change requests came with a blast-radius report before any code shipped; how incidents got traced past the first stack trace, all the way down to root cause