What if your software delivery pipeline could think, adapt, and improve itself-without losing human control?
This book is a practical, experience-driven guide to integrating artificial intelligence across the entire Software Development Lifecycle (SDLC). It shows how modern engineering teams can use AI not as a replacement for developers, but as a powerful collaborator-enhancing decision-making, accelerating delivery, improving reliability, and strengthening governance from idea to production and beyond.
Rather than drowning you in theory, this book focuses on how AI actually fits into real-world workflows: planning, architecture, coding, testing, CI/CD, monitoring, incident response, MLOps, and responsible governance. You'll learn where AI adds genuine value, where it introduces risk, and how to design systems where humans remain firmly in control.
What you'll gainYou'll discover how to:
Embed AI into DevOps, AIOps, and MLOps pipelines without disrupting existing processes
Use AI for smarter testing, anomaly detection, predictive maintenance, and root cause analysis
Build feedback loops that continuously improve quality and performance
Govern AI-assisted releases with transparency, accountability, and compliance in mind
Measure ROI, productivity gains, and operational impact-clearly and defensibly
Why this book is differentMost books talk about AI tools. This one teaches AI-enabled engineering systems. It connects technical implementation with process design, team collaboration, and organizational change-bridging the gap between theory, tooling, and delivery at scale. The emphasis on responsible AI, explainability, and hybrid human-AI decision-making makes it especially relevant for modern, regulated, and high-stakes environments.
Who this book is forSoftware engineers, DevOps practitioners, architects, technical leaders, and engineering managers who want to move beyond hype and adopt AI in a way that is practical, measurable, and sustainable.
Take the next stepIf you want to build faster, safer, and more intelligent software systems-without sacrificing trust, quality, or control-this book will show you how.
Start building an AI-augmented SDLC that actually works.
