Agentic Software Engineering with Google Antigravity IDE - Couverture souple

Nexley, Devlin

9782159136960: Agentic Software Engineering with Google Antigravity IDE

Couverture souple

ISBN 10 : 2159136964 ISBN 13 : 9782159136960

Editeur : Devlin Nexley, 2026

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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.

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