[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODQxMDM","title","Engineering Software Systems in the AI Era","state","published","contactAuthorMethod","email","aboutText","

Engineering Software Systems in the AI Era is a practical guide to designing, building, securing, testing, scaling, deploying, and evolving modern software systems in an increasingly AI-driven world.

The book takes a system-level approach to software engineering rather than focusing exclusively on programming.

It brings together the major disciplines required to build production-grade software:

Software architecture
System design
Requirements engineering
Data architecture
AI engineering
Cybersecurity
Privacy
Software quality
Reliability engineering
Cloud-native systems
DevOps and DevSecOps
Observability
Platform engineering
AI-augmented development
Technical debt management
Engineering strategy
Technical leadership
AI governance
Intelligent software systems

A central theme throughout the book is the changing role of the software engineer.

As AI makes coding increasingly automated, engineers must become better at understanding problems, designing systems, evaluating trade-offs, verifying results, managing risk, and making architectural decisions.

This book provides a practical blueprint for doing exactly that.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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