AI-Native Software Delivery

AI for the delivery pipeline, not just the coding step

AI-Native Software Delivery takes a clear-eyed look at what happens after the code is written. Rather than treating AI as a shortcut for programming alone, the book follows software through the delivery lifecycle—commit, build, test, secure, deploy, observe, and improve. The result is a practical guide for teams that want faster delivery without sacrificing reliability or control.

Written by Nick Durkin, Eric Minick, and Chinmay Gaikwad, this O’Reilly title is aimed at software engineers, DevOps leaders, and technology executives who are working in modern delivery environments. It connects AI-assisted workflows with the everyday realities of CI/CD, DevSecOps, AIOps, chaos engineering, SRE, cloud cost management, and platform engineering.

What the book focuses on

• Applying AI across software delivery workflows
• Reducing operational toil and fragmented automation
• Strengthening security and supply-chain practices
• Improving reliability through testing, chaos engineering, and observability
• Using intelligent pipelines and feedback loops to support scale

Why it stands out

This is not a high-level AI trend book. It is grounded in the mechanics of shipping software well. That makes it especially useful for readers who already understand DevOps and now need to adapt delivery systems for an AI-native environment. If your team is redesigning pipelines, building platform capabilities, or looking for a more coherent way to connect automation with governance, this book gives that conversation structure.

For readers building modern software operations

Whether you are refining a legacy delivery process or shaping a new internal platform, AI-Native Software Delivery offers a thoughtful path through the technical and organizational questions involved in shipping software quickly, securely, and reliably.