We're entering an agentic era where AI agents can generate code, review pull requests, and automate development tasks. But to become trusted collaborators, they need more than source code—they need context.
In this talk, I'll explore how AsyncAPI can serve as the semantic foundation for building AI agents that understand an event-driven platform, not just its APIs. By combining AsyncAPI specifications with platform metadata, agents can reason about services, events, schemas, dependencies, ownership, and business capabilities as a connected story rather than isolated technical artifacts.
Instead of answering only developer-focused questions such as "Which service publishes this event?", these agents can also explain why an event exists, how it supports a business process, which teams depend on it, and what the downstream impact of a change might be. This shared understanding helps bridge the gap between platform engineering and product teams, enabling more informed technical and business decisions.
I'll present the architecture behind a Storyteller Agent, discuss the design choices involved in building a semantic knowledge layer on top of AsyncAPI, and illustrate how these concepts can be applied in practice using examples from an event-driven platform.
Attendees will leave with practical ideas for transforming AsyncAPI from documentation into a knowledge layer that enables the next generation of intelligent platform agents.