Agentic Engineering: A comprehensive guide to building production-grade agentic systems - Tapa blanda

Agentic Engineering (Paperback)

Paperback. Condición: new. Paperback. Language models demo impressively. Engineering them for enterprise production is a different job entirely. Modern engineering teams face a fundamental shift: systems that are probabilistic, stateful, tool-using, and occasionally wrong in fluent, convincing prose. Building Enterprise Agentic AI Systems is a systems-first guide to designing, building, and operating agentic AI that survives production traffic, security review, compliance, and 2 a.m. incidents - not just demo day. This is not a prompting book. It treats large language models as black-box probabilistic components inside larger software architectures, and focuses on the part of the job that actually determines whether a system survives contact with production: the control surfaces around the model - context and memory, tool permissions, multi-agent coordination, evaluation, security, and cost. Who this book is for: - Engineers and developers moving from prompt experiments to production-grade AI system architecture- Architects and tech leads designing system boundaries, tool integration, reliability, and governance patterns- Engineering managers and leaders weighing investment trade-offs, security risk, evaluation pipelines, and operational readiness What's inside: - Foundations - how agentic systems differ from deterministic software, and how to think in terms of blast radius, not just correctness- Building blocks - context engineering and memory, tool calling (including MCP), planning and reflection, and multi-agent architecture done with restraint instead of hype- Enterprise engineering - reliability and evaluation, performance and cost engineering, security and compliance (prompt injection, data leakage, governance), and what it actually takes to deploy and operate these systems at scale- Advanced topics - fine-tuning versus prompting, and a practical map of today's AI engineering ecosystem- Hands-on builds - full end-to-end walkthroughs of an enterprise assistant, a research agent, and a production-readiness checklist you can apply to your own systems Every chapter opens with a real engineering problem, not a buzzword, and pairs the concept with working code across LangGraph, Microsoft Agent Framework, and CrewAI - so the ideas are never abstract for long. By the end, you won't just know how to build an agent that works in a demo. You'll know when to reach for full autonomy versus a deterministic workflow, how to defend a tool-using pipeline against the failure modes that only show up in production, and how to move a prototype to something you can trust - and explain - in front of a compliance review. If you're responsible for AI systems that have to actually work, not just impress a room, this book is for you. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798199056205

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