Agentic AI Engineering

<h5><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Discover how Software Engineering is transforming into Agentic Engineering the new discipline for building Production-Grade Enterprise-Grade and Regulatory-Grade intelligent systems.</strong></h5><p></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>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. </span><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Agentic AI Engineering</strong><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)> delivers the missing discipline showing how to build systems that are resilient auditable and trustworthy across real-world environments.</span></p><p></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>At its heart the book reveals how </span><em style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>software engineering evolves into agentic engineering</em><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>. 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.</span></p><p></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>The central framework the </span><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Agentic Stack</strong><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)> 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.</span></p><p></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>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.</span></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>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.</span></p><p></p><p><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Agentic AI Engineering</strong><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)> 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.</span></p>