AI Agents Expose a Design Gap in Microservices Resilience Architecture

Most teams deploying AI agents focus their attention on prompt engineering, tool design, and LLM reliability. What receives far less attention is the microservices architecture that those agents operate against, carefully built and hardened long before any agent existed. That architecture rests on assumptions that have held true for years.