Building reliable AI agents for production environments

computer code screen Photo: Markus Spiske (CC0) via Openverse

A new technical guide details how to construct advanced AI agents that maintain stability in production settings. The article covers the ReAct architecture, planning loops, and state management using event sourcing. It also explains durable execution with Azure Durable Functions and multi-agent collaboration patterns. The author emphasizes placing reliability in deterministic code rather than relying solely on model intelligence. This resource helps developers manage budgets, prevent infinite loops, and implement human approval workflows.

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Photo: Markus Spiske (CC0) via Openverse