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Synopsis
Software development is entering a new architectural era where artificial intelligence systems are no longer limited to code completion or developer assistance. Modern engineering environments are evolving toward autonomous, agent-driven workflows where intelligent systems can plan, implement, test, validate, and continuously improve software applications.
This book explores the engineering principles behind building and operating autonomous software development systems using AI agents, modern developer environments, and multi-agent workflows. It provides a deep technical examination of how organizations can integrate agent-based engineering practices into real-world software delivery processes.
Rather than focusing on simple AI coding assistance, this book presents a systems-oriented approach to designing intelligent development environments. It covers agent architecture, workflow orchestration, context engineering, autonomous implementation patterns, verification strategies, security controls, governance models, and enterprise adoption practices.
You will learn how to:
Design AI agent workflows for software engineering tasks
Architect multi-agent development systems
Build reliable context and memory strategies for coding agents
Apply autonomous planning, implementation, testing, and review patterns
Integrate AI agents into modern DevOps and platform engineering practices
Establish security boundaries, governance frameworks, and operational controls
Manage agent behavior in large-scale enterprise environments
Create feedback loops for continuously improving engineering systems
Understand the future evolution of autonomous software factories
The book examines the challenges of deploying agentic engineering systems at scale, including reliability, observability, security risks, human oversight, and organizational transformation. It provides practical architectural insights for engineers building AI-native development workflows and leaders responsible for adopting emerging software engineering platforms.
Designed for software engineers, architects, DevOps professionals, platform engineers, AI engineers, and technical leaders, this book provides a foundation for understanding how autonomous development systems are designed, governed, and operated in production environments.
The future of software engineering will not be defined only by how quickly developers write code, but by how effectively organizations design intelligent systems that can create, maintain, and evolve software continuously.
"synopsis" may belong to another edition of this title.
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Agentic Software Engineering with Google Antigravity IDE (Paperback)
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Paperback. Condition: new. Paperback. Software development is entering a new architectural era where artificial intelligence systems are no longer limited to code completion or developer assistance. Modern engineering environments are evolving toward autonomous, agent-driven workflows where intelligent systems can plan, implement, test, validate, and continuously improve software applications.This book explores the engineering principles behind building and operating autonomous software development systems using AI agents, modern developer environments, and multi-agent workflows. It provides a deep technical examination of how organizations can integrate agent-based engineering practices into real-world software delivery processes.Rather than focusing on simple AI coding assistance, this book presents a systems-oriented approach to designing intelligent development environments. It covers agent architecture, workflow orchestration, context engineering, autonomous implementation patterns, verification strategies, security controls, governance models, and enterprise adoption practices.You will learn how to: Design AI agent workflows for software engineering tasksArchitect multi-agent development systemsBuild reliable context and memory strategies for coding agentsApply autonomous planning, implementation, testing, and review patternsIntegrate AI agents into modern DevOps and platform engineering practicesEstablish security boundaries, governance frameworks, and operational controlsManage agent behavior in large-scale enterprise environmentsCreate feedback loops for continuously improving engineering systemsUnderstand the future evolution of autonomous software factoriesThe book examines the challenges of deploying agentic engineering systems at scale, including reliability, observability, security risks, human oversight, and organizational transformation. It provides practical architectural insights for engineers building AI-native development workflows and leaders responsible for adopting emerging software engineering platforms.Designed for software engineers, architects, DevOps professionals, platform engineers, AI engineers, and technical leaders, this book provides a foundation for understanding how autonomous development systems are designed, governed, and operated in production environments.The future of software engineering will not be defined only by how quickly developers write code, but by how effectively organizations design intelligent systems that can create, maintain, and evolve software continuously. The book examines the challenges of deploying agentic engineering systems at scale, including reliability, observability, security risks, human oversight, and organizational transformation. 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 # 9782159136960
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Agentic Software Engineering with Google Antigravity IDE
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Agentic Software Engineering with Google Antigravity IDE (Paperback)
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Paperback. Condition: new. Paperback. Software development is entering a new architectural era where artificial intelligence systems are no longer limited to code completion or developer assistance. Modern engineering environments are evolving toward autonomous, agent-driven workflows where intelligent systems can plan, implement, test, validate, and continuously improve software applications.This book explores the engineering principles behind building and operating autonomous software development systems using AI agents, modern developer environments, and multi-agent workflows. It provides a deep technical examination of how organizations can integrate agent-based engineering practices into real-world software delivery processes.Rather than focusing on simple AI coding assistance, this book presents a systems-oriented approach to designing intelligent development environments. It covers agent architecture, workflow orchestration, context engineering, autonomous implementation patterns, verification strategies, security controls, governance models, and enterprise adoption practices.You will learn how to: Design AI agent workflows for software engineering tasksArchitect multi-agent development systemsBuild reliable context and memory strategies for coding agentsApply autonomous planning, implementation, testing, and review patternsIntegrate AI agents into modern DevOps and platform engineering practicesEstablish security boundaries, governance frameworks, and operational controlsManage agent behavior in large-scale enterprise environmentsCreate feedback loops for continuously improving engineering systemsUnderstand the future evolution of autonomous software factoriesThe book examines the challenges of deploying agentic engineering systems at scale, including reliability, observability, security risks, human oversight, and organizational transformation. It provides practical architectural insights for engineers building AI-native development workflows and leaders responsible for adopting emerging software engineering platforms.Designed for software engineers, architects, DevOps professionals, platform engineers, AI engineers, and technical leaders, this book provides a foundation for understanding how autonomous development systems are designed, governed, and operated in production environments.The future of software engineering will not be defined only by how quickly developers write code, but by how effectively organizations design intelligent systems that can create, maintain, and evolve software continuously. The book examines the challenges of deploying agentic engineering systems at scale, including reliability, observability, security risks, human oversight, and organizational transformation. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9782159136960
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Agentic Software Engineering with Google Antigravity IDE (Paperback)
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Paperback. Condition: new. Paperback. Software development is entering a new architectural era where artificial intelligence systems are no longer limited to code completion or developer assistance. Modern engineering environments are evolving toward autonomous, agent-driven workflows where intelligent systems can plan, implement, test, validate, and continuously improve software applications.This book explores the engineering principles behind building and operating autonomous software development systems using AI agents, modern developer environments, and multi-agent workflows. It provides a deep technical examination of how organizations can integrate agent-based engineering practices into real-world software delivery processes.Rather than focusing on simple AI coding assistance, this book presents a systems-oriented approach to designing intelligent development environments. It covers agent architecture, workflow orchestration, context engineering, autonomous implementation patterns, verification strategies, security controls, governance models, and enterprise adoption practices.You will learn how to: Design AI agent workflows for software engineering tasksArchitect multi-agent development systemsBuild reliable context and memory strategies for coding agentsApply autonomous planning, implementation, testing, and review patternsIntegrate AI agents into modern DevOps and platform engineering practicesEstablish security boundaries, governance frameworks, and operational controlsManage agent behavior in large-scale enterprise environmentsCreate feedback loops for continuously improving engineering systemsUnderstand the future evolution of autonomous software factoriesThe book examines the challenges of deploying agentic engineering systems at scale, including reliability, observability, security risks, human oversight, and organizational transformation. It provides practical architectural insights for engineers building AI-native development workflows and leaders responsible for adopting emerging software engineering platforms.Designed for software engineers, architects, DevOps professionals, platform engineers, AI engineers, and technical leaders, this book provides a foundation for understanding how autonomous development systems are designed, governed, and operated in production environments.The future of software engineering will not be defined only by how quickly developers write code, but by how effectively organizations design intelligent systems that can create, maintain, and evolve software continuously. The book examines the challenges of deploying agentic engineering systems at scale, including reliability, observability, security risks, human oversight, and organizational transformation. 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 # 9782159136960
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Agentic Software Engineering with Google Antigravity IDE
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Agentic Software Engineering with Google Antigravity IDE
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Taschenbuch. Condition: Neu. Agentic Software Engineering with Google Antigravity IDE | Devlin Nexley | Taschenbuch | Englisch | 2026 | Devlin Nexley | EAN 9782159136960 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 138048567
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