Wow! eBook
Agentic AI for Platform Engineering: Rethinking developer platforms with agentic AI, RAG, MCP, and governed autonomous operations
Author(s): Tiago Miguel Reichert (Author), Lucas Soriano Alves Duarte (Author), Jaime Nagase (Author)
- Publisher: Packt Publishing
- Publication Date: September 30, 2026
- Edition: 1st
- Language: English
- Print length: 268 pages
- ISBN-10: 1806386658
- ISBN-13: 9781806386659
Book Description
Build AI-driven platforms with RAG, MCP, governed agents, and observability, while seeing how Claude Code, Kiro, and Codex CLI fit into the shift from personal coding agents to governed platform agents
Key Features
- End-to-end coverage from AI-enhanced developer portals to governed agentic operations
- Apply agentic AI patterns for governed remediation, observability, and human-in-the-loop control
- Generate infrastructure-as-code and CI/CD artifacts through conversational AI interfaces
Book Description
Platform engineers today face a growing challenge: developer platforms must scale faster than teams can maintain them. This book shows how to embed GenAI, RAG, MCP, and governed agents into developer platforms while preserving delivery and governance practices.
The book moves from platform engineering and AIOps foundations to organizational knowledge, conversational interfaces, and agentic operations. Along the way, it places Claude Code, Kiro, and Codex CLI within this evolution, showing how these tools connect to the shift toward governed agents across platforms and organizations. You will build RAG pipelines, connect platform capabilities through MCP, and explore natural-language generation of Terraform and Kubernetes artifacts alongside CI/CD use cases. Hands-on chapters use Backstage, GitOps, Argo CD, Strands, and Langfuse to demonstrate assistants, governed pull-request changes, observability, audit trails, and operational agents.
You will also learn when single- or multi-agent designs are appropriate, evaluate build-versus-buy choices, and address prompt injection, memory poisoning, identity abuse, and compliance. By the end, you will be able to design AI-enhanced developer platforms that improve self-service while keeping high-impact actions observable, auditable, and subject to human approval where risk demands it.
What you will learn
- Build RAG systems grounded in organizational knowledge
- Build governed agents that propose changes through pull requests
- Connect conversational workflows to platform tools with MCP
- Explore where Claude Code and Kiro fit in agentic platform workflows
- Trace agent activity and maintain auditable operational records
- Secure agent workflows with guardrails, identity, and compliance controls
- Compare personal and production agents with governed tool access
- Evaluate build-versus-buy choices for AI platform capabilities
Who this book is for
This book is for platform engineers, SREs, DevOps professionals, and cloud architects who want to integrate GenAI and agentic AI into internal developer platforms. If you are responsible for building or maintaining internal platforms and want to improve developer self-service, operational intelligence, and governed automation, 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, Kubernetes, CI/CD, and DevOps practices is assumed.
Table of Contents
- Platform Engineering and Developer Experience
- AIOps: A Pre- and Post-Platform Engineering Perspective
- Foundation of Generative AI for Platform Teams
- Driving Platform Intelligence with Organizational Knowledge
- Conversational Interfaces
- Agentic AI and Autonomous Behavior
- Operational Agents in Production
- Security, Compliance, and Governance
- Future Directions
Editorial Reviews
Review
“This book arrives at the exact moment the industry needs it most. It tackles the next logical leap forward: AI Driven Platform Engineering. There is a common misconception that AI will render the foundational infrastructure layer obsolete. In reality, the opposite is true. AI needs platform engineering and cloud native technology to scale safely... Whether you are an engineering executive looking to move the needle on DORA metrics [or] a platform architect designing stateful multi agent systems, this book provides the practical map to get you there”
Chris Aniszczyk
CTO, Cloud Native Computing Foundation
“AI is clearly becoming part of the next phase of DevOps and platform engineering, and this book brings those pieces together really well. The coverage of MCP, RAG, agents, and governance makes it especially timely”
Shubham Londhe
DevOps & Cloud Educator, TrainWithShubham | Temporal Technologies
“As someone working in platform engineering, I really enjoyed the perspective on bringing AI, RAG, and agentic workflows into the platforms we already build and operate. It’s a very interesting look at where platform engineering is going next”
Ebin Babu
Senior DevOps & Platform Engineer, Aivar Innovations | CNCF Ambassador
About the Author
Tiago Miguel Reichert is a Principal Solutions Architect at AWS, where he helps companies across Latin America optimize their container and cloud strategies while leading the Containers Tech community across the region. With more than 10 years of experience in technology, he is passionate about GenAI, SaaS, and Platform Engineering. Beyond his role at AWS, he is an active contributor to the cloud-native ecosystem, serving as an organizer of KCD Brazil and other local meetups focused on advancing cloud-native technologies. He has spoken at major industry events including AWS re:Invent, KubeCon, and PlatformCon. He has also contributed to the ecosystem through open-source projects, technical blogs, workshops, and white papers, in addition to being a Platform Engineering Ambassador and CNCF Ambassador.
Lucas Soriano Alves Duarte is a WW Principal Solutions Architect for Agentic Transformation at AWS, based in Austin, TX. Lucas drives technical strategy and builds assessment frameworks that help customers modernize legacy systems into intelligent, autonomous platforms. He leads cross-functional initiatives spanning architecture design, automation tooling, and partner enablement. Previously, he spent years supporting ISV customers through AWS Container services across AMER. Lucas is a CNCF Kubestronaut with deep Kubernetes and DevOps experience built across multiple companies in Brazil and the US.
Jaime Nagase is a Principal Business Development Manager and regional leader at AWS, where he heads the Application Modernization, Containers, and Serverless domain for Latin America. He is the author of the book Modern Applications Strategy and holds a postgraduate degree in Artificial Intelligence from the University of Texas. Recognized as a DevOps Ambassador, Jaime is a prominent speaker in the cloud community, having shared his expertise at global and regional stages including AWS re:Invent, AWS Summits, and various Kubernetes Community Days (KCD). At AWS, he orchestrates Go-To-Market strategies that leverage technologies like Amazon EKS, ECS, AWS Lambda, and Event-Driven Architectures, bridging the gap between cutting-edge engineering, including Platform Engineering, GitOps, and AI architectures, and transformative business outcomes across LATAM.
