دانلود کتاب هوش مصنوعی عامل‌محور برای مهندسی پلتفرم: بازنگری در پلتفرم‌های توسعه‌دهنده با استفاده از هوش مصنوعی عامل‌محور و RAG

Platform engineering is evolving rapidly, and AI is becoming an essential part of how internal developer platforms scale. Platform teams must deliver faster while reducing the effort required to maintain self-service experiences. This book provides a practical path for embedding generative AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and autonomous agents into the platforms developers use every day. Written by three AWS specialists and platform engineering practitioners who have contributed to KubeCon, AWS re:Invent, and PlatformCon, Agentic AI for Platform Engineering bridges the gap between AI theory and real-world implementation. Each chapter builds on the last, taking you from platform engineering and AI foundations to advanced agentic patterns, production operations, security, and governance. You will learn to build conversational interfaces that let developers interact with organizational knowledge and platform capabilities, generate infrastructure as code through natural language, and deploy operational agents that diagnose platform issues and propose governed remediation through existing GitOps workflows. You will also learn how RAG and MCP connect AI systems to trusted organizational knowledge and live platform data. Throughout the book, safety and accountability remain central. You will learn how to keep humans in the loop and govern AI behavior with guardrails, identity controls, observability, and compliance frameworks. Whether you are modernizing an existing internal developer platform or building one from scratch, the book provides architectural patterns, code examples, and hands-on labs to help you proceed with confidence. This book is for platform engineers, SREs, DevOps professionals, and cloud architects who want to integrate AI into their internal developer platforms. If you are responsible for building or maintaining internal platforms and want to automate operations, improve developer experience, and introduce intelligent self-service capabilities, this book is for you. Technical leaders driving AI adoption within engineering teams will also find valuable strategic guidance. Basic familiarity with cloud computing, infrastructure as code, and DevOps practices is assumed.