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Anotace knihy

Every enterprise Java team is being asked the same question right now: where does AI actually fit into a stack that already works? Most books answer that question from a Python-first, data-science-first point of view - almost none of them are written for the architect who already has a production Spring Boot estate, strong opinions about dependency injection and transactional boundaries, and zero patience for hand-wavy advice.

This book closes that gap.

Written by an AWS Certified Solutions Architect - Professional with two decades of enterprise Java experience, Spring AI for Java Architects is a complete, architect-level tour of the Spring AI framework - covering not just the API surface, but the production judgment that separates a working demo from a system you'd actually put behind real customers.

What's inside:

• The core framework, end to end - ChatModel and ChatClient, the Advisors middleware pattern, tool calling, conversation memory, retrieval-augmented generation, and first-class Model Context Protocol (MCP) support
• The emerging agentic stack - Agent Clients, the Judge and Jury evaluation framework, Recursive Advisors, and the ACP/A2A protocols, presented with honest clarity about what's production-stable versus still settling
• Production engineering, not just features - security boundaries for tool calling, evaluation harnesses for non-deterministic output, Micrometer-based observability, cost and rate-limit management, and a version-selection framework for navigating a fast-moving dependency safely
• A full worked capstone project - five chapters building one real application, Solstice Support Copilot, from a vague stakeholder request through requirements, architecture, implementation, and production hardening - including a variation chapter re-platforming the same system to AWS Bedrock as a multi-tenant SaaS product
• Interview-ready synthesis - a dedicated chapter translating every architectural lesson into the kind of judgment-driven answers that distinguish a senior architect in a real interview
• Quick-access reference material - a glossary of every term used in the book, an FAQ and troubleshooting guide drawn from real, recurring problems, and a one-page decision cheat sheet for advisor ordering, version selection, and security checklists

Who this book is for:

Architects and senior engineers evaluating or already building on Spring AI. Technical leads who need to make a defensible version-adoption decision for a real project. Anyone preparing for an architect-level interview where "AI integration" is now a standing topic. And any Java developer who wants the kind of depth that comes from understanding why a framework is shaped the way it is - not just which annotation to type.

Every chapter pairs working code with the architectural reasoning behind it - including the real bugs, version-to-version breaking changes, and production incidents that shaped the framework's current design, so you're learning from what actually happened, not a sanitized tutorial version of it.

If you're going to bring AI into a Java enterprise stack, bring the same discipline you'd bring to anything else in that stack. This book is that discipline, applied.

Parametry knihy

• Plný název: SPRING AI FOR JAVA ARCHITECTS
• Podnázev: Building Production-Grade AI Systems on the Spring Stack
• Autor: Benasir Bobin Rajamony
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 102
• EAN: 9798184253367
• ID: 54267040
• Nakladatelství: Independently published
• Hmotnost: 259 g
• Rozměry: 280 × 216 × 5 mm
• Datum vydání: 25. June 2026

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