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Harness Engineering: Building Reliable AI Agent Systems (The Practical Tech Guide Series) - Softcover
Book 13 of 15: The Practical Tech Guide Series
Synopsis
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.
"synopsis" may belong to another edition of this title.
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Harness Engineering (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 failuresThis 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 printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798184381213
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Harness Engineering: Building Reliable AI Agent Systems (The Practical Tech Guide Series)
Print on DemandSeller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # I-9798184381213
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Harness Engineering (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 failuresThis 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 printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798184381213
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