Google Antigravity. This item is unavailable.
Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
- Softcover
- New
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Softcover
Condition: New
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Item description from seller
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- Title
- Google Antigravity
- Author
- Leo Hartmann
- Publisher
- Amazon Digital Services LLC - Kdp
- Publication year
- 2025
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798279205967
- Item weight
- 181 grams
- Series
- Book 2 of 2: Google Antigravity Blueprints Series
Building software with autonomous agents is only half the challenge. Shipping it reliably, securely, and at scale is where most teams fail.
Google Antigravity: The Autonomous Delivery Blueprint takes agentic development beyond experimentation and into production-grade execution. This volume focuses on advanced workflows for coordinating multiple agents, managing parallel execution, and transforming AI-generated artifacts into stable, deployable systems.
You will learn how to design self-correcting development loops, automate testing and visual QA, enforce security and privacy boundaries, and integrate agent-driven workflows into modern CI/CD pipelines. The book also explores governance, failure recovery, and operational patterns needed to run autonomous development systems over the long term.
Written for teams ready to move beyond prototypes, Book II provides a structured path from agent collaboration to enterprise-ready delivery, ensuring that speed does not come at the cost of reliability.
Together with Book I, this volume completes the blueprint for operating AI-first software teams in the age of autonomous systems.
Google Antigravity: The Autonomous Delivery Blueprint takes agentic development beyond experimentation and into production-grade execution. This volume focuses on advanced workflows for coordinating multiple agents, managing parallel execution, and transforming AI-generated artifacts into stable, deployable systems.
You will learn how to design self-correcting development loops, automate testing and visual QA, enforce security and privacy boundaries, and integrate agent-driven workflows into modern CI/CD pipelines. The book also explores governance, failure recovery, and operational patterns needed to run autonomous development systems over the long term.
Written for teams ready to move beyond prototypes, Book II provides a structured path from agent collaboration to enterprise-ready delivery, ensuring that speed does not come at the cost of reliability.
Together with Book I, this volume completes the blueprint for operating AI-first software teams in the age of autonomous systems.
"Synopsis" may belong to another edition of this title.