Why AI agents are repeating microservices' mistakes, and how to avoid them
AIThe author, who says they were on the design doc for a three-agent workflow, reports that the system's output quality declined slowly and that it took about three weeks to trace the cause to a dropped field. The article argues that multi-agent systems face the same visibility problems that microservices created in 2019, and it recommends an agent registry, end-to-end tracing with OpenTelemetry's GenAI conventions, and contract tests for prompt changes.
Source details
O'Reilly Radar · Shania Rasheed Nalagath · oreilly.comPublished · added here
Original title: Why AI Agents Are Repeating 2019’s Microservices Mistake