Google Antigravity Engineering: Designing Autonomous Development Systems and Agentic Workflows with Gemini 3
暫譯: Google 反重力工程:使用 Gemini 3 設計自主開發系統與代理工作流程
Cordex, Finn
- 出版商: Independently Published
- 出版日期: 2025-12-18
- 售價: $870
- 貴賓價: 9.5 折 $827
- 語言: 英文
- 頁數: 160
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798261988632
- ISBN-13: 9798261988632
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相關分類:
AI Coding
海外代購書籍(需單獨結帳)
相關主題
商品描述
Designing Autonomous Development Systems and Agentic Workflows with Gemini 3
By Finn Cordex
Manual coding is no longer the bottleneck. Control is.
As AI systems evolve from single prompts into autonomous development environments, engineers face a new challenge: how to design, orchestrate, secure, and scale agentic workflows that can reason, plan, and act with minimal human intervention. Google Antigravity represents a major shift in this direction - transforming the IDE into an intelligent, self-directed engineering partner powered by Gemini 3.
Google Antigravity Engineering is the definitive, production-grade guide to building and operating autonomous development systems using Google's emerging antigravity paradigm. Written for experienced developers and AI engineers, this book goes beyond surface-level tutorials to focus on system design, architecture, and real-world execution.
You will learn how to:
Design agentic IDE workflows that plan, execute, and self-correct across complex codebases
Engineer autonomous development pipelines using Gemini 3 for reasoning, planning, and tool use
Build multi-agent systems that collaborate, delegate, and resolve conflicts at runtime
Apply LangGraph and LangChain to orchestrate long-running, stateful AI workflows
Debug, test, and optimize agentic systems for performance, reliability, and safety
Secure autonomous development environments against prompt injection, data leakage, and misuse
Deploy production-ready antigravity systems that scale across teams and enterprise environments
Unlike introductory AI books, this guide treats agentic development as an engineering discipline, not a novelty. Each chapter combines theoretical foundations, hands-on Python implementations, and expert commentary drawn from real-world production systems. Code examples are complete, executable, and explained line by line, with a strong emphasis on design trade-offs and operational reality.
This book is ideal for:
Senior software engineers and platform engineers
Machine learning and applied AI engineers
Technical leads designing AI-assisted development workflows
Researchers and practitioners working with agentic systems and autonomous tools
If you are ready to move beyond prompt engineering and start engineering autonomy itself, Google Antigravity Engineering gives you the architectural insight, practical tools, and professional rigor required to lead the next generation of AI-driven software development.