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Item #:
270349469
Google Antigravity Pro: Harness Google AI to accelerate software delivery, improve code quality and scale modern AI-assisted development. (AI Coding)
Item #:
270349469
RWF 39937
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- Build Production-Ready AI Coding Workflows with Google AntigravityAI coding tools can generate code in seconds — but without the right boundaries, review process, and verification habits, they can also create technical debt, weak implementations, bloated sessions, and risky changes that quietly spread through a codebase.Google Antigravity Pro is a practical, engineering-focused guide to using Google Antigravity in real software delivery workflows. Written for experienced developers, technical leads, software engineers, DevOps professionals, and AI-forward engineering teams, this book shows you how to move beyond novelty-driven prompting and build reliable, scalable AI-assisted development systems that hold up under real production pressure.Instead of treating AI as a black-box coding assistant, you will learn how to operate Google Antigravity as a controlled engineering platform — with safer project boundaries, tighter context management, structured verification, reviewable diffs, approval patterns, reusable workflows, and team-ready delivery systems.Whether you work in frontend development, backend systems, full-stack engineering, platform engineering, DevOps, SaaS product development, startup environments, enterprise software teams, or modern AI coding workflows, this book will help you integrate Google Antigravity into day-to-day engineering work with more confidence and less risk.Inside this book, you will learn how to:Use Google Antigravity across desktop, CLI, IDE, browser, and research workflowsCreate safer project boundaries that reduce context drift and improve code review qualityStructure prompts with acceptance criteria, constraints, and verification requirementsReview plans, diffs, and artifacts before risky implementation spreads through the repoUse Git worktrees, scoped permissions, approvals, and isolated workflows to reduce blast radiusOptimise token usage, session management, and model selection for faster and cheaper executionBuild repeatable AI coding workflows that scale across engineering teamsCoordinate work across multiple repositories, services, APIs, and supporting toolsUse browser automation, testing, screenshots, logs, and reports as verification evidenceCreate reusable team conventions, rules files, skills, prompt libraries, and delivery harnessesDetect weak plans, hallucinated assumptions, speculative edits, and workflow drift earlyRoll out AI-assisted software development practices safely across teams and organisationsYou will also build a complete capstone delivery harness that combines the book’s workflow patterns into a reusable, production-ready engineering system your team can adopt and extend.Unlike beginner AI coding books that focus on novelty demos or generic prompt tips, Google Antigravity Pro focuses on practical software engineering, workflow reliability, risk reduction, review discipline, and sustainable team adoption.If you want to build software faster with AI while keeping control of quality, reviewability, security, and delivery standards, this book gives you a practical framework for modern AI-assisted engineering.Perfect for readers interested in:AI codingDeveloper productivitySoftware architecturePrompt engineering for developersAI developer toolsGit workflowsDevOps automationCode review workflowsAI-assisted programmingSoftware team workflowsEngineering leadershipModern software deliveryAI development workflowsProduction-ready AI systemsStop treating AI coding like a gimmick. Learn how to build faster, review smarter, reduce risk, and create AI-powered engineering workflows your team can trust.
| Publisher | Independently published |
| Publication date | June 9, 2026 |
| Language | English |
| Print length | 262 pages |
| ISBN-13 | 979-8180847645 |
| Item Weight | 12.6 ounces (357.21 grams) |
| Dimensions | 6 x 0.6 x 9 inches (15.2 x 1.5 x 22.9 cm) |
| Part of series | AI Coding |
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