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Harness Engineering: Building Reliable AI Agent Systems (The Practical Tech Guide Series) - Tapa blanda
Libro 13 de 15: The Practical Tech Guide Series
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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Harness Engineering (Paperback)
Impresión bajo demandaLibrería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9798184381213
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Harness Engineering: Building Reliable AI Agent Systems (The Practical Tech Guide Series)
Impresión bajo demandaLibrería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798184381213
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Harness Engineering
Impresión bajo demandaLibrería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798184381213
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Harness Engineering (Paperback)
Impresión bajo demandaLibrería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9798184381213
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Harness Engineering : Building Reliable AI Agent Systems
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware - 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. Nº de ref. del artículo: 9798184381213
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EUR 24,20
Envío por EUR 35,00
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