Agentic AI Engineering
The Definitive Field Guide to Building Production-Grade Cognitive Systems
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Discover how Software Engineering is transforming into Agentic Engineering, the new discipline for building Production-Grade, Enterprise-Grade, and Regulatory-Grade intelligent systems. Most AI agents shine in controlled demos but collapse in production. They hallucinate confidently, drift off tasks, or fail silently without explanation. The problem is not intelligence but fragility. Agentic AI Engineering delivers the missing discipline, showing how to build systems that are resilient, auditable, and trustworthy across real-world environments. At its heart, the book reveals how software engin...
Discover how Software Engineering is transforming into Agentic Engineering, the new discipline for building Production-Grade, Enterprise-Grade, and Regulatory-Grade intelligent systems. Most AI agents shine in controlled demos but collapse in production. They hallucinate confidently, drift off tasks, or fail silently without explanation. The problem is not intelligence but fragility. Agentic AI Engineering delivers the missing discipline, showing how to build systems that are resilient, auditable, and trustworthy across real-world environments. At its heart, the book reveals how software engineering evolves into agentic engineering. Where traditional software aimed for deterministic correctness, agentic systems must reason under uncertainty, adapt across shifting contexts, and continuously prove alignment. This evolution demands new foundations, new practices, and new roles. The central framework, the Agentic Stack, shows how to take agents from fragile prototypes to systems that can stand up to audits and scale without breaking. It demonstrates how to move deliberately up the maturity ladder: first to production-grade, where agents are contained and observable, then to enterprise-grade, where they integrate safely across organizations, and ultimately to regulatory-grade, where they can withstand external scrutiny and prove compliance in motion. The book goes beyond technical mechanics to address the organizational transformation required. It reframes product management around the economics of cognition, redefines operations as AgentOps, and advances quality assurance into the practice of proving not just outputs but reasoning itself. It shows how traditional agile squads must evolve into agentic teams, designed with architects, context engineers, and cognitive reliability leads who engineer not only systems but trust. The journey closes with the future horizon. Agents will not remain isolated utilities but will interconnect into adaptive ecosystems and, eventually, operating fabrics of intelligence. In this world, every application becomes an agent, and every system becomes accountable by design. Agentic AI Engineering is written for AI engineers and architects, yet it also provides vital perspective for executives, product leaders, and investors. More than a manual, it is a manifesto for the next era of technology.
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