Paperback. Software Engineering with AI Coding AgentsAI coding agents can generate code in seconds-but how do you make sure that code is correct, secure, maintainable, and actually ready for production?If you understand the basics of software development but feel unsure about bringing AI coding agents into real projects, this book gives you a practical path forward.Software Engineering with AI Coding Agents takes you beyond autocomplete, isolated prompts, and impressive-looking generated code. Instead, you will learn how to build reliable AI-assisted software development workflows in which coding agents can inspect repositories, make bounded changes, run tests, respond to feedback, work with Git, and contribute safely to modern software delivery.You do not need previous experience with autonomous coding agents, agent frameworks, or advanced AI concepts. The material develops progressively, helping you build confidence one engineering practice at a time. Mistakes are treated as useful signals-not failures to fear-and each chapter turns complex ideas into practical habits you can apply to real or sample repositories.Key FeaturesPractical, tool-neutral guidance that remains useful as AI products evolveReal-world approaches to repository readiness and context engineeringVerification-first methods for testing and reviewing AI-generated codeSecure permission boundaries, sandboxing, and human approval controlsGit, pull request, CI/CD, deployment, and observability workflowsPractical exercises, checklists, templates, and reference materialA disciplined approach to increasing agent autonomy safelyWhat You Will LearnYou will discover how to: Prepare software repositories for reliable AI-assisted developmentGive coding agents precise, relevant, and maintainable contextTurn vague requirements into bounded, verifiable engineering tasksGenerate code without losing architectural intent or maintainabilityUse tests, type checking, static analysis, and CI as deterministic feedbackProtect secrets, dependencies, infrastructure, and production environmentsReview AI-generated diffs and integrate changes safely through GitBuild controlled CI/CD and deployment workflowsScale agentic development across teams with governance and measurable outcomesWho This Book Is ForThis book is ideal for developers, backend and full-stack engineers, software architects, DevOps and platform engineers, technical leads, engineering managers, and other software professionals who already understand basic programming and development workflows but are new to AI coding agents and agentic software development.Table of ContentsChapter 1 - Engineering for Agentic Software DevelopmentChapter 2 - Building Agent-Ready Software RepositoriesChapter 3 - Context Engineering for Coding AgentsChapter 4 - Specifications and Agent-Executable Task DesignChapter 5 - Reliable AI-Assisted Code GenerationChapter 6 - Verification-First EngineeringChapter 7 - Security, Permissions, and Execution BoundariesChapter 8 - Git, Code Review, and Controlled IntegrationChapter 9 - CI/CD and AI-Assisted Software DeliveryChapter 10 - Scaling Agentic Development Across Engineering TeamsAI coding agents become far more useful when they operate inside strong engineering boundaries. Start building those boundaries today-and turn AI-assisted coding from an experiment into a reliable part of professional software Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Software Engineering with AI Coding Agents (Paperback)
Publisher: Independently Published
Publication Date: 2026
Language: English
ISBN 13: 9798170109074
Binding: Paperback
Condition: new

About this title

Synopsis

Software Engineering with AI Coding Agents

AI coding agents can generate code in seconds—but how do you make sure that code is correct, secure, maintainable, and actually ready for production?

If you understand the basics of software development but feel unsure about bringing AI coding agents into real projects, this book gives you a practical path forward.

Software Engineering with AI Coding Agents takes you beyond autocomplete, isolated prompts, and impressive-looking generated code. Instead, you will learn how to build reliable AI-assisted software development workflows in which coding agents can inspect repositories, make bounded changes, run tests, respond to feedback, work with Git, and contribute safely to modern software delivery.

You do not need previous experience with autonomous coding agents, agent frameworks, or advanced AI concepts. The material develops progressively, helping you build confidence one engineering practice at a time. Mistakes are treated as useful signals—not failures to fear—and each chapter turns complex ideas into practical habits you can apply to real or sample repositories.

Key Features

Practical, tool-neutral guidance that remains useful as AI products evolve
Real-world approaches to repository readiness and context engineering
Verification-first methods for testing and reviewing AI-generated code
Secure permission boundaries, sandboxing, and human approval controls
Git, pull request, CI/CD, deployment, and observability workflows
Practical exercises, checklists, templates, and reference material
A disciplined approach to increasing agent autonomy safely

What You Will Learn

You will discover how to:

Prepare software repositories for reliable AI-assisted development
Give coding agents precise, relevant, and maintainable context
Turn vague requirements into bounded, verifiable engineering tasks
Generate code without losing architectural intent or maintainability
Use tests, type checking, static analysis, and CI as deterministic feedback
Protect secrets, dependencies, infrastructure, and production environments
Review AI-generated diffs and integrate changes safely through Git
Build controlled CI/CD and deployment workflows
Scale agentic development across teams with governance and measurable outcomes

Who This Book Is For

This book is ideal for developers, backend and full-stack engineers, software architects, DevOps and platform engineers, technical leads, engineering managers, and other software professionals who already understand basic programming and development workflows but are new to AI coding agents and agentic software development.

Table of Contents

Chapter 1 — Engineering for Agentic Software Development
Chapter 2 — Building Agent-Ready Software Repositories
Chapter 3 — Context Engineering for Coding Agents
Chapter 4 — Specifications and Agent-Executable Task Design
Chapter 5 — Reliable AI-Assisted Code Generation
Chapter 6 — Verification-First Engineering
Chapter 7 — Security, Permissions, and Execution Boundaries
Chapter 8 — Git, Code Review, and Controlled Integration
Chapter 9 — CI/CD and AI-Assisted Software Delivery
Chapter 10 — Scaling Agentic Development Across Engineering Teams

AI coding agents become far more useful when they operate inside strong engineering boundaries. Start building those boundaries today—and turn AI-assisted coding from an experiment into a reliable part of professional software development.

"About this title" may belong to another edition of this title.

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