Overview

Once software can build itself, the real challenge becomes control. Google Antigravity: Architecting Autonomous Software Systems takes you beyond the foundations and into the production realities of agent-driven engineering. This volume is written for developers and architects who must deploy autonomous systems at scale-without sacrificing reliability, security, or accountability. You'll explore advanced orchestration strategies for managing multiple AI agents across complex projects, designing verification pipelines that prevent silent failures, and implementing self-correction loops that allow systems to diagnose and fix issues autonomously. The book introduces architectural patterns for trust, auditability, and governance in AI-driven development environments. Key topics include: Multi-agent coordination and dependency management Artifact-based verification, replay systems, and audit trails Autonomous testing, regression detection, and recovery workflows Secure execution boundaries, secrets management, and IP protection Operating AI-driven software pipelines in real-world production environments This book positions you as an Autonomous Systems Architect-someone capable of designing, supervising, and scaling AI-driven software factories rather than manually producing code.

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