Design Patterns for Production-Ready Agentic Systems

Agentic AI becomes a different engineering problem once workflows face real traffic, external dependencies and financial consequences. The article outlines five production patterns: classified retries with backoff and dead-letter handling, recovery from partial failures through idempotency and compensation, human approval at high-blast-radius actions, durable execution state for restartability, and explicit cost bounds with circuit breakers and monitoring. For technology leaders, these patterns provide a practical lens for deciding whether an agentic system is operationally ready beyond the demo.