Engineering the Autonomous SDLC book cover by Eby Febryanto
Book by Eby Febryanto

Engineering the Autonomous SDLC

Architecture, Governance, and Operating Models for AI-Augmented Software Delivery

Engineering the Autonomous SDLC is a book for teams building the next generation of software delivery. It explains how to redesign the software development lifecycle for an AI-native world where intelligent agents support planning, implementation, testing, review, governance, and continuous improvement.

Autonomous SDLC book AI software delivery Engineering governance AI-native engineering
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What This Book Covers

From traditional SDLC to autonomous SDLC

The book frames the autonomous SDLC as an engineering operating model, not a collection of isolated AI tools. It focuses on how organizations can combine architecture, governance, workflows, operating principles, and platform capabilities so AI agents can participate safely and productively across the lifecycle.

  • How AI agents fit into software delivery workflows
  • Architecture patterns for AI-augmented SDLC systems
  • Governance and controls for agent-enabled engineering
  • Operating models for AI-native engineering teams
  • Platform capabilities needed for scale and consistency
Who It Is For

Leaders and builders shaping AI-native engineering

This autonomous SDLC book is written for people responsible for how software gets built, shipped, and governed. It is especially relevant when teams are moving beyond ad hoc AI experimentation and need a coherent operating model.

  • Engineering leaders modernizing delivery systems
  • Architects designing AI-ready platforms and workflows
  • Platform and developer productivity teams
  • Transformation leaders introducing AI into engineering
  • Founders and builders creating AI-native product teams
FAQ

Questions about Engineering the Autonomous SDLC

What is Engineering the Autonomous SDLC about?

It is a book about designing software organizations that use AI agents across the software development lifecycle with clear architecture, governance, operating models, and platform capabilities.

Who should read this autonomous SDLC book?

It is written for engineering leaders, architects, delivery leaders, platform teams, and builders shaping AI-augmented software delivery.

Which topics does the book cover?

The book covers autonomous SDLC architecture, AI agent integration, engineering governance, operating models, platform enablement, and organizational change for AI-native engineering.