Mastering Google Antigravity: From Setup to Real Projects

About this course

Unlock the full potential of Google Antigravity and improve your daily coding workflow with AI. This practical course helps developers use AI-assisted coding in real work — from setup and core features to building a real project, writing better prompts, and creating reusable workflows inside the editor. Throughout the course, you’ll explore: Antigravity Fundamentals: Install and set up Google Antigravity, learn its main features, and understand how to use Tab, navigation, inline command completions, and the Agent side panel more effectively. Antigravity Basics for Real Use: Understand what Antigravity is, popular developer use cases, payment plans, available models, feature limitations, and telemetry and privacy settings you should know before using it in daily work. Working with Agent Modes and Context: Learn how to execute tasks with Agent Fast Mode, plan work with Agent Planning Mode, provide better chat context, and write clearer prompts for more accurate and useful AI responses. Real-World Project (Calendar App): Build a modern Calendar App step by step with Antigravity: create an implementation plan, build the app in the editor, apply UI fixes, generate fake data, add create/edit/delete event functionality, improve validation and error handling, refactor large components, and write unit tests with Vitest. Organizing Your Codebase: Learn how workspace context works in Antigravity, how to manage ignored files and context boundaries, and how to use Rules and Workflows to make AI output more consistent and reusable. Advanced AI Workflows: Explore Agent Skills, learn from popular community examples, and create your own reusable Agent Skills for development tasks. Prompt Engineering Essentials: Learn prompt engineering basics, common mistakes, best practices, advanced prompting techniques, and role-based prompts to get better output from AI tools. By the end of the course, you’ll be able to use Google Antigravity with confidence: work with its core AI features, provide better context, build real apps faster, improve code with AI, write tests, and create reusable workflows that save time every week.