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Harness Engineering|Quiet Line Press

Harness Engineering : Building Reliable AI Agent Systems

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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

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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