Harness Engineering: Building Reliable AI Agent Systems

By Quiet Line Press and Blue J. Lion

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.

• Format: Paperback
• Language: English
• ISBN: B0H6PFXDZ3
• ISBN13: 9798184381213
• Release Date: June 2026
• Publisher: Independently Published
• Length: 62 Pages
• Weight: 0.21 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"