Agentic AI for Platform Engineering
Rethinking developer platforms with agentic AI, RAG, MCP, and governed autonomous operations
Created by Tiago Miguel Reichert, Jaime Nagase, Lucas Soriano Alves Duarte
Explore how agentic AI, RAG, and MCP are transforming internal developer platforms. Discover practical ways to enhance self-service, automate operations, and maintain strong governance using modern AI tools and patterns. Gain hands-on experience with real-world technologies and workflows.
Packt | Sep 2026 | 268 min
What You Will Learn
You will start with core concepts in platform engineering and AIOps, then move into hands-on implementation using tools like Backstage, GitOps, and Langfuse. Each section blends architectural guidance with practical code examples and real-world scenarios, helping you apply new patterns directly to your own platform.
Key Features
- Design AI-powered developer platforms with strong governance and observability
- Automate infrastructure and CI/CD tasks using conversational AI interfaces
- Implement secure, auditable agent workflows that support human approval
Target Audience
Ideal 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 self-service, automation, and governance, you will find actionable strategies and hands-on techniques here. Basic knowledge of cloud, Kubernetes, and DevOps is recommended.
