Agentic AI systems should be designed like distributed microservices with composable components, explicit contracts, and reliability patterns. Break workflows into purpose-built agents rather than monolithic implementations. Apply familiar engineering practices like timeouts, retries, circuit breakers, and end-to-end

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Agentic AI through a microservices lensFrom one big agent to composable workflowsContracts are more important with agentsReliability patterns carry overObservability: Tracing decisionsHow Red Hat AI fits in this microservices-inspired modelThis mindset shift unlocks production

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