The Future of AI Agents Is Event-Driven | Confluent

What this post added

This post argues for Event-Driven Architecture (EDA) as the foundational infrastructure for scaling AI agents. It highlights the limitations of fixed workflows and LLMs, positioning agents as dynamic, context-driven systems. The core technical argument is that EDA provides the necessary loose coupling and asynchronous communication for agents to access data, use tools, and share information across systems without creating rigid dependencies, drawing parallels to the evolution from monoliths to microservices and the challenges of scaling early social networks. It emphasizes how EDA enables agents to function as independent microservices with informational dependencies, allowing for seamless integration into broader workflows and systems like CRMs and CDPs.