In this article, author Abhishek Goswami shares a practitioner's playbook with development practices, that describes building agentic AI applications and scaling them in production.

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Agentic AI systems require fundamentally different development practices than traditional software. The article presents a comprehensive playbook covering architecture patterns (ReAct, Supervisor, Hierarchical, Human-in-the-Loop), planning methodologies using capability matrices to separate deterministic from nondeterministic components, versioning strategies for prompts and tool manifests, and specialized testing approaches including property-based, behavioral, and metamorphic testing. Key insights include treating prompts as Infrastructure-as-Code, using golden trajectories for regression testing, and recognizing that most production applications combine both agentic and rule-based components for optimal cost and reliability.

From Prompts to Production: A Playbook for Agentic Development

Implementing Agentic Features (The Capability Matrix Approach)