Overview
Build more reliable AI coding workflows without chasing the perfect prompt.
AI coding agents can write code, inspect repositories, run tools, and complete multi-step tasks. But useful output is not the same as reliable engineering.
Harness Engineering is a practical guide to building the surrounding workflow that helps agents work more safely and predictably. Using a small companion project, agent_harness_lab, the book shows how vague tasks, weak context, loose permissions, and unclear verification can be improved step by step.
You will learn how to:
- Make repositories easier for agents to navigate
- Turn vague requests into executable task briefs
- Choose useful context without overwhelming the agent
- Set safer tool and permission boundaries
- Use plans, checkpoints, tests, and evidence more effectively
- Apply human review where it adds the most value
- Improve the harness over time by learning from repeated failures
This is not a prompt-writing guide or a vendor-specific manual. It is a practical framework for software engineers, technical leads, and builders who want AI agents to become part of a more trustworthy engineering workflow.
The tools will keep changing. The discipline behind a strong harness will last.
This item is Non-Returnable
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Details
- ISBN-13: 9798184381213
- ISBN-10: 9798184381213
- Publisher: Independently Published
- Publish Date: June 2026
- Dimensions: 9 x 6 x 0.13 inches
- Shipping Weight: 0.21 pounds
- Page Count: 62
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