Why AI Agents Need Event-Driven Architecture
AI agents become fragile when they are connected in long synchronous chains. An event bus lets them work independently, wait for people and tools, recover after restarts, and place policy between a model's recommendation and a real action.
Most AI agent demos fit inside a single request:
User -> Agent -> Tool -> Agent -> Response
The agent makes a plan, calls a tool, gets an answer, and returns a response. It is easy to understand and easy to demo.
Then the same agent meets a real workflow.
It needs data from several systems. One tool takes five minutes. Another agent has to review the result. A production change needs human approval. While the approval is pending, one of the services restarts.
The model is no longer the hardest part. Coordination is.
At that point, adding a better prompt will not fix the system. The agents need a way to...
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