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Agentic Spec-Driven Development: A Practical Guide to Engineering Reliable AI Agents, Controlling Autonomous Workflows, and Building Production-Ready Software - Softcover
Synopsis
WHEN AI CAN ACT ON ITS OWN, ENGINEERING CONTROL BECOMES ESSENTIAL
AI agents are changing how software is planned, written, tested, and operated. But greater autonomy introduces a critical engineering question: how do you give AI enough freedom to be useful without giving it enough freedom to create uncontrolled risk?
AGENTIC SPEC-DRIVEN DEVELOPMENT presents a practical framework for engineering reliable AI agents, controlling autonomous workflows, and building production-ready software. Instead of treating prompts as the primary foundation for development, this book shows how to connect human intent with precise specifications, defined agent boundaries, structured workflows, verification, evidence, governance, and continuous improvement.
Inside, you will learn how to:
- Transform vague requirements into clear, agent-ready specifications
- Define agent roles, permissions, constraints, and stop conditions
- Decompose complex development work into bounded, executable tasks
- Design practical workflows for agentic software development
- Use AI agents for implementation while maintaining engineering control
- Connect requirements to acceptance criteria, tests, and verifiable evidence
- Identify and manage security, permission, tool-use, and governance risks
- Prepare agent-assisted software for production deployment
- Establish observability, auditability, and feedback loops
- Scale spec-driven agentic practices across development teams
Rather than relying on abstract theory or speculative predictions, the book emphasizes practical engineering decisions, workflows, technical artifacts, tables, diagrams, checklists, and implementation-oriented examples that can be adapted to real development environments.
Whether you are a software developer, AI engineer, technical lead, architect, engineering manager, or technology professional exploring agentic development, this book provides a structured way to move from AI-assisted coding toward disciplined, specification-driven agentic engineering
The goal is not to make AI autonomous for its own sake. The goal is to make autonomy useful, bounded, testable, observable, and accountable.
If you are ready to build software with AI agents without surrendering engineering discipline, AGENTIC SPEC-DRIVEN DEVELOPMENT provides a practical framework to help you begin.
"synopsis" may belong to another edition of this title.
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Agentic Spec-Driven Development (Paperback)
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Paperback. Condition: new. Paperback. WHEN AI CAN ACT ON ITS OWN, ENGINEERING CONTROL BECOMES ESSENTIALAI agents are changing how software is planned, written, tested, and operated. But greater autonomy introduces a critical engineering question: how do you give AI enough freedom to be useful without giving it enough freedom to create uncontrolled risk?AGENTIC SPEC-DRIVEN DEVELOPMENT presents a practical framework for engineering reliable AI agents, controlling autonomous workflows, and building production-ready software. Instead of treating prompts as the primary foundation for development, this book shows how to connect human intent with precise specifications, defined agent boundaries, structured workflows, verification, evidence, governance, and continuous improvement.Inside, you will learn how to: Transform vague requirements into clear, agent-ready specificationsDefine agent roles, permissions, constraints, and stop conditionsDecompose complex development work into bounded, executable tasksDesign practical workflows for agentic software developmentUse AI agents for implementation while maintaining engineering controlConnect requirements to acceptance criteria, tests, and verifiable evidenceIdentify and manage security, permission, tool-use, and governance risksPrepare agent-assisted software for production deploymentEstablish observability, auditability, and feedback loopsScale spec-driven agentic practices across development teamsRather than relying on abstract theory or speculative predictions, the book emphasizes practical engineering decisions, workflows, technical artifacts, tables, diagrams, checklists, and implementation-oriented examples that can be adapted to real development environments. Whether you are a software developer, AI engineer, technical lead, architect, engineering manager, or technology professional exploring agentic development, this book provides a structured way to move from AI-assisted coding toward disciplined, specification-driven agentic engineeringThe goal is not to make AI autonomous for its own sake. The goal is to make autonomy useful, bounded, testable, observable, and accountable.If you are ready to build software with AI agents without surrendering engineering discipline, AGENTIC SPEC-DRIVEN DEVELOPMENT provides a practical framework to help you begin. 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 # 9798170658367
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Agentic Spec-Driven Development: A Practical Guide to Engineering Reliable AI Agents, Controlling Autonomous Workflows, and Building Production-Ready Software
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Agentic Spec-Driven Development (Paperback)
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Paperback. Condition: new. Paperback. WHEN AI CAN ACT ON ITS OWN, ENGINEERING CONTROL BECOMES ESSENTIALAI agents are changing how software is planned, written, tested, and operated. But greater autonomy introduces a critical engineering question: how do you give AI enough freedom to be useful without giving it enough freedom to create uncontrolled risk?AGENTIC SPEC-DRIVEN DEVELOPMENT presents a practical framework for engineering reliable AI agents, controlling autonomous workflows, and building production-ready software. Instead of treating prompts as the primary foundation for development, this book shows how to connect human intent with precise specifications, defined agent boundaries, structured workflows, verification, evidence, governance, and continuous improvement.Inside, you will learn how to: Transform vague requirements into clear, agent-ready specificationsDefine agent roles, permissions, constraints, and stop conditionsDecompose complex development work into bounded, executable tasksDesign practical workflows for agentic software developmentUse AI agents for implementation while maintaining engineering controlConnect requirements to acceptance criteria, tests, and verifiable evidenceIdentify and manage security, permission, tool-use, and governance risksPrepare agent-assisted software for production deploymentEstablish observability, auditability, and feedback loopsScale spec-driven agentic practices across development teamsRather than relying on abstract theory or speculative predictions, the book emphasizes practical engineering decisions, workflows, technical artifacts, tables, diagrams, checklists, and implementation-oriented examples that can be adapted to real development environments. Whether you are a software developer, AI engineer, technical lead, architect, engineering manager, or technology professional exploring agentic development, this book provides a structured way to move from AI-assisted coding toward disciplined, specification-driven agentic engineeringThe goal is not to make AI autonomous for its own sake. The goal is to make autonomy useful, bounded, testable, observable, and accountable.If you are ready to build software with AI agents without surrendering engineering discipline, AGENTIC SPEC-DRIVEN DEVELOPMENT provides a practical framework to help you begin. 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 # 9798170658367
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Agentic Spec-Driven Development : A Practical Guide to Engineering Reliable AI Agents, Controlling Autonomous Workflows, and Building Production-Ready Software
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Amazon Digital Services LLC - Kdp Aug 2026, 2026
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Taschenbuch. Condition: Neu. Neuware - WHEN AI CAN ACT ON ITS OWN, ENGINEERING CONTROL BECOMES ESSENTIALAI agents are changing how software is planned, written, tested, and operated. But greater autonomy introduces a critical engineering question: how do you give AI enough freedom to be useful without giving it enough freedom to create uncontrolled risk AGENTIC SPEC-DRIVEN DEVELOPMENT presents a practical framework for engineering reliable AI agents, controlling autonomous workflows, and building production-ready software. Instead of treating prompts as the primary foundation for development, this book shows how to connect human intent with precise specifications, defined agent boundaries, structured workflows, verification, evidence, governance, and continuous improvement.Inside, you will learn how to: - Transform vague requirements into clear, agent-ready specifications- Define agent roles, permissions, constraints, and stop conditions- Decompose complex development work into bounded, executable tasks- Design practical workflows for agentic software development- Use AI agents for implementation while maintaining engineering control- Connect requirements to acceptance criteria, tests, and verifiable evidence- Identify and manage security, permission, tool-use, and governance risks- Prepare agent-assisted software for production deployment- Establish observability, auditability, and feedback loops- Scale spec-driven agentic practices across development teams>Whether you are a software developer, AI engineer, technical lead, architect, engineering manager, or technology professional exploring agentic development, this book provides a structured way to move from AI-assisted coding toward disciplined, specification-driven agentic engineeringThe goal is not to make AI autonomous for its own sake. The goal is to make autonomy useful, bounded, testable, observable, and accountable.If you are ready to build software with AI agents without surrendering engineering discipline, AGENTIC SPEC-DRIVEN DEVELOPMENT provides a practical framework to help you begin. Seller Inventory # 9798170658367
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