
This lesson is an introduction to the course.
In this lesson, you will learn what the course requirements are.
In this lesson, you will explore how to study on the platform.
Learn how to install and configure Antigravity in minutes.
A fast walkthrough to help you start using Antigravity right away.
Master workspace navigation and tab management.
Use inline commands to speed up your writing and coding.
Understand and utilize the Agent side panel for better control.
Intro to Antigravity’s features and developer use cases.
Explore how developers are using Antigravity in real-world projects.
Compare Antigravity pricing tiers and included features.
Learn about the AI models behind Antigravity and their limitations.
Manage your data and privacy settings effectively.
Use Fast Mode to complete tasks quickly and efficiently.
Improve results by maintaining clear chat context.
Structure tasks and goals with Planning Mode.
Overview of the project goals, workflow, and what you’ll learn.
Preview the final app, its features, and user flows.
Compare different AI-driven build strategies.
Access the prompts and resources used in the project.
Break the app into steps and define the build roadmap.
Generate core components and logic in the editor.
Improve UI and add realistic sample data.
Implement full event management features.
Add validation and handle edge cases.
Split complex code into maintainable components.
Create and run unit tests to verify the app.
See how Antigravity builds and uses context from your codebase.
Control which files are included or excluded from context.
Learn how rules guide behavior and enforce consistency.
Explore proven rule setups used by other developers.
Build custom rules tailored to your project.
Use ready-made templates to speed up rule creation.
Learn how workflows automate repetitive processes.
See real examples of effective workflow automation.
Build and execute your own workflows.
Start faster with reusable workflow templates.
Learn how Agent Skills work in Antigravity and their role in development.
Discover popular community-created Antigravity Agent Skills and their use cases.
Step-by-step guide to creating and configuring your own custom Antigravity Agent Skill.
Utilize pre-built Agent Skill templates to simplify and speed up your development process.
Introduction to the skill of writing effective instructions for AI.
Avoid typical errors that cause poor AI responses.
Guidelines for writing precise, structured, and actionable prompts.
Use multi-turn prompts, constraints, examples, and role-playing for better outputs.
Leverage personas like “Project Manager” or “Senior Developer” for context-aware results.
Install and connect GitHub Copilot in VS Code for seamless AI-assisted coding.
Jump right into using Copilot to generate code as you type.
Understand how Copilot suggests and completes code intelligently.
Interact with Copilot directly inside your editor or terminal.
Use smart actions to refactor, explain, or document code faster.
Explore the Copilot chat window for deeper interaction and help.
A quick introduction to why you should use GitHub Copilot.
A quick look at what GitHub Copilot is and how it integrates into your coding workflow.
See how developers use Copilot to write, fix, and learn code more efficiently.
Understand Copilot's plans, what’s included, and key restrictions.
Learn how Copilot handles your code and respects your data privacy.
This course helps you build a practical understanding of Google Antigravity and how to use it in real day-to-day coding work. You will start by learning the interface step by step, so you can feel comfortable inside the editor and understand how the main parts of the tool work together.
From there, you will explore key Antigravity features such as Agent Modes, Tab, Navigation, Command, Artifacts, and Agent Manager, with a strong focus on how these features can support real development tasks instead of only theory.
The course also goes beyond one tool. You will learn how to write better prompts, avoid common prompting mistakes, and apply simple best practices that help AI respond in a more useful and accurate way.
To give you a broader view of modern AI coding, the course also introduces other popular tools used by developers today. You will see how GitHub Copilot works inside VS Code, how Cursor can help with completions and project rules, how Windsurf supports AI development with its own workflows and memory features, and how ChatGPT can be used for coding, research, and project support.
In addition, we will cover practical topics such as pricing, privacy settings, and smart usage tips, so you can make better decisions and use AI tools more confidently in real projects.
This Course includes
Theory and Practice: Lectures with many practical examples (3-10 min lessons duration).
Udemy Certificate: which you will receive after completing the course.
Support: If you have any questions, we will always be willing to answer them.
Meet your instructor!
Dmytro Vasyliev - Senior Front-end Engineer with more than 10 years of professional experience in developing complex Web Applications. I have extensive experience with React and other frameworks, having used it in various projects to build dynamic and efficient user interfaces.
Join our course today to learn how to build your first application in React!