Paperback. Vibe coding is easy. Shipping reliable AI-generated code is the hard part. Harness Engineering for AI Coding Agents is a practical guide for developers, tech leads, and technical founders who want to turn AI coding agents into reliable software delivery systems. Instead of teaching another generic AI coding tutorial, this book focuses on the missing layer: the harness around the agent. You will learn how to structure repositories, write AGENTS.md files, create task specs, build context packs, define safe boundaries, enforce tests, add CI gates, validate AI-generated code, and create production-ready workflows for Claude Code, Codex-style agents, and Python projects. Inside, you will build: - An AGENTS.md generator- A repo context pack builder- An AI task spec generator- An agent output validator- A Python test harness for AI changes- A CI gate for AI-generated code- A security scan gate- A PR review automation harness- A Claude Code workflow template- A production AI coding agent starter kit This is not a hype book about replacing developers. It is a practical engineering guide for making AI coding agents safer, more testable, more reliable, and more useful in real software projects. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Harness Engineering for AI Coding Agents (Paperback)
Publisher: Independently Published
Publication Date: 2026
Language: English
ISBN 13: 9798196736506
Binding: Paperback
Condition: new

About this title

Synopsis

Vibe coding is easy. Shipping reliable AI-generated code is the hard part.

Harness Engineering for AI Coding Agents is a practical guide for developers, tech leads, and technical founders who want to turn AI coding agents into reliable software delivery systems.

Instead of teaching another generic AI coding tutorial, this book focuses on the missing layer: the harness around the agent.

You will learn how to structure repositories, write AGENTS.md files, create task specs, build context packs, define safe boundaries, enforce tests, add CI gates, validate AI-generated code, and create production-ready workflows for Claude Code, Codex-style agents, and Python projects.

Inside, you will build:

• An AGENTS.md generator
• A repo context pack builder
• An AI task spec generator
• An agent output validator
• A Python test harness for AI changes
• A CI gate for AI-generated code
• A security scan gate
• A PR review automation harness
• A Claude Code workflow template
• A production AI coding agent starter kit

This is not a hype book about replacing developers. It is a practical engineering guide for making AI coding agents safer, more testable, more reliable, and more useful in real software projects.

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

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APOLLO ONLINE CORP.
605 Geddes Street, Wilmington, DE, 19805, U.S.A.

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