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Antigravity Masterclass: From Vibe Coder to Agentic Engineer

Name: Antigravity Masterclass: From Vibe Coder to Agentic Engineer
Rating: 4.5 (21 reviews)

Master Google Antigravity IDE: Automate Coding, UI Testing & Workflows with Antigravity 2.0 + CLI

Role Play

Created byArunprabu nallasamy

Last updated 6/2026

English

What you'll learn

Use Antigravity efficiently to write, debug, and build applications with AI.
Master Agentic Coding, Vibe coding and Context Engineering.
Learn Antigravity Artifacts, Rules, Workflows, skills and MCPs.
Learn Agentic Engineering using Antigravity.
Plan, architect, and ship complete projects using Antigravity.
Master Antigravity and Parallel Tasks to automate development simultaneously and reduce work time by 10x.

Course content

13 sections • 41 lectures • 2h 29m total length

Course Overview & How to Learn3:08
Get a high-level look at the Antigravity ecosystem and the "Agentic Engineering" roadmap. This video covers the course structure, the live hands-on demos you'll be building, and tips on how to adjust the playback speed or skip ahead if you are already familiar with specific GenAI concepts.

LLMs & Chat Agents — The Core of Modern AI2:25
You’ll learn:
What a Large Language Model (LLM) really is
How models like Gemini power AI applications
The difference between an LLM and a Chat Agent
How to use chat agents and canvas for developers
By the end, you’ll clearly understand the building blocks behind AI-assisted development.
Using Chat Agents for Coding2:16
You’ll learn:
How to use a chat agent and Canvas for coding tasks
Writing, debugging, and refactoring code
Common limitations of chat-based development
You’ll see how chat agents help — and where they slow you down.
Google AI Studio Explained4:22
Now we explore Google AI Studio, Google’s dedicated environment for working directly with Gemini models.
You’ll learn:
What Google AI Studio is
How it differs from normal chat interfaces
When to use AI Studio instead of a chat agent
Its strengths for prompt testing and model experimentation
Its limitations compared to a full AI-native IDE like Antigravity
This lesson helps you understand the evolution from:
Chat → AI Studio → AI-Powered IDE

Understand IDE vs ADE: How Agent-First Development Works in Antigravity2:29
Learn what an IDE is, how agents work inside modern development environments, and what defines an Agentic Development Environment (ADE). Understand the agent-first approach and your role as the human orchestrator.
Understanding the Flavors: Antigravity IDE vs. 2.0 vs. CLI6:43
Before we install the tool, let’s clear up the confusion around Google's ecosystem. In this step-by-step overview, you will learn the exact differences between the Antigravity IDE, the 2.0 core engine, and the Antigravity CLI.
We break down:
• What's New in Antigravity 2.0: The upgraded multi-agent reasoning engine.
• Antigravity IDE: The visual workspace for building full apps with zero manual code.
• Antigravity CLI: The terminal-based command-line interface for developer automation.
• When to Use Each: How to choose the right tool flavor for your workflow.
By understanding how these pieces connect, you will see why the context management and agent workflows you learn in this masterclass apply across the entire Antigravity ecosystem.
[Resource Included]: Download the "Antigravity Flavors" image below for a quick side-by-side comparison table.

Install Antigravity 2.0 Desktop Application2:42
Step-by-step guide to downloading, installing, and setting up the Antigravity 2.0 Desktop Application. Understand the new standalone architecture and how it differs from the earlier IDE-based setup.
Explore Antigravity Manager & Settings3:22
Explore all available settings in Antigravity 2.0, including global settings and project-level configurations. Learn how these settings control agent behavior, execution, and environment customization.
Create a New Conversation & Explore Options2:33
Learn how to create a new conversation in Antigravity 2.0 and understand available options such as adding files, enabling modes like /goal Mode and /grill-me Mode, using the /browser subagent, and /schedule tasks.
Browser Subagent Explained with Demo2:30
Understand what the browser subagent is and how it enhances agent capabilities by interacting with live web content. See a hands-on demo using the browser subagent with a real prompt.
Introduction to Projects in Antigravity2:06
Learn what a project is in Antigravity 2.0, why it is important, and how to create and configure a project with the right settings for effective agent workflows.
Hands-On Demo: Creating and Running a Project3:14
Build a project from scratch and see how it works in practice. In this demo, create a project that collects daily AI news from Hacker News and generates a consolidated report using an agent.
Schedule Tasks in Antigravity1:43
Learn how to schedule tasks in Antigravity 2.0. Create a scheduled workflow and observe how agents automatically execute tasks over time in a hands-on demonstration.

Plan an Application Using Antigravity Agents3:17
Create a sample application from scratch. Provide a prompt, select planning mode and model, and review how the agent generates a structured implementation plan before coding begins.
Implement and Auto-Test the Application with Agents4:08
Approve the plan and let the agent build the application. See how Antigravity tests the app automatically, captures screenshots, and records the execution process.
Understand AI Unpredictability in Code Generation3:05
Run the same prompt again and observe different implementation results. Learn why LLM outputs vary and why AI-generated code is not always predictable, even when correct.

Install and Configure Google Antigravity IDE3:16
Step-by-step installation of Antigravity IDE and initial configuration. Set up your development environment correctly to start building with AI agents.
Explore the Antigravity UI: Editor, File Explorer, and Agent Chat Panel2:18
Get a guided walkthrough of the Antigravity interface, including the file explorer, code editor, and agent chat panel. Learn how the layout supports AI-assisted development.
Test Your Knowledge: Antigravity ADE

Understand Artifacts in Antigravity3:47
Learn what artifacts are in Antigravity, including task lists, implementation plans, walkthrough files, screenshots, videos, and knowledge artifacts, and when they are created and how they are used during development.
Manage AI Sessions for Better Development Workflow1:37
Understand what a session means in AI tools and why each conversation forms a session. Learn how maintaining clean and organized sessions improves development with AI agents.
Use Context to Improve AI Response Quality4:01
Learn what context means in AI systems and why clear, relevant context helps AI generate better results. Understand what information should and should not be included.
Understand What Forms AI Context4:05
Explore the elements that form context in AI coding agents, including files, conversations, skills, MCP integrations, and other information used by the agent during development.
Test Your Knowledge: AI Orchestration & Artifact Management in Antigravity
Helping a Co-Worker Understand Sessions and Context in Agentic Coding

Create a README for an AI-Driven Project3:32
Learn what a README.md file is and why AI agents check it first to understand a project. Create a README for the demo project using Antigravity.
Demo Project: Course Explainer App2:20
Get introduced to the demo project used in this course—a Python application built with Flask. You can follow along with this project or use your own.
Hands-On Demo: Run the Python Application with Antigravity Agent3:32
See how an Antigravity agent checks out the project, installs Python dependencies, and runs the application automatically.
Hands-On Demo: Fix a Bug with an Antigravity Agent5:19
Watch a hands-on demo where Antigravity identifies and fixes a bug in the demo project and verifies the fix using the browser agent.
Assignment_01 - Fix a Bug in the Demo Application Using Antigravity

Understand Rules in Antigravity1:56
Learn what rules are in Antigravity, why they are useful, and where they can be created, including global rules and workspace rules.
Create a Rule in Antigravity3:35
Learn how to create a new rule in Antigravity. Build a rule that ensures unit tests are always executed and new tests are created when code changes are made.
Use Rules During a Code Update4:59
Perform a hands-on demo where a feature is implemented and observe how the rule automatically ensures unit tests are executed.
Create a Workflow in Antigravity4:16
Learn what workflows are and how to create one in Antigravity. Build a simple workflow that explains code, similar to slash commands used in other coding agents.
Understand the Difference Between Rules and Workflows0:34
Learn the key differences between rules and workflows and when each should be used while working with Antigravity agents.
Test Your Knowledge: Rules and Workflows in Antigravity

Set Up GitHub CLI for Antigravity Workflows3:52
Learn what GitHub CLI is, how it is used by developers, and how to install and configure it on your machine so Antigravity agents can interact with GitHub repositories.
Create a Workflow to Automatically Create a Pull Request
Create a Workflow to Commit Code and Open a Pull Request6:08
Build a workflow in Antigravity that automatically commits code changes and creates a pull request using GitHub CLI. The workflow is generated by the agent based on your prompt and a complete end-to-end demo of the workflow in action.

Requirements

Basic product development knowledge.
No coding knowledge is needed.
Familiarity with the GenAI ecosystem.
A computer with internet access and a Gmail account.

Description

Build Smarter, Not Harder—with Google Antigravity and Agentic AI.

Imagine having an AI coding partner that doesn’t just suggest snippets, but actually does the work for you. An assistant that understands your project, handles your terminal, runs your tests, and manages your GitHub PRs while you focus on high-level architecture.

That’s exactly what you’ll master in this Google Antigravity Masterclass.

The "No-Code" Breakthrough

You don’t need to be a programmer to build professional software anymore. If you have a clear idea and the logic to explain it, Antigravity takes care of the technical heavy lifting. In this course, I'll show you how to use Antigravity to write complex code, design frontend layouts, and test UI just by describing what you need.

We will take a simple concept and turn it into a fully functional, production-grade application. You won't have to write a single line of code yourself—you just provide the vision, and Antigravity builds the reality.

Mastering the Ecosystem: Antigravity IDE, 2.0, & CLI

While this course focuses primarily on hands-on development inside the Antigravity IDE, you will also get a complete breakdown of how Google has evolved the ecosystem. You’ll learn:

Antigravity IDE vs. Antigravity CLI: When to use the visual, multi-agent workspace of the IDE versus the lightweight, terminal-driven power of the Antigravity CLI for automated pipelines.
What’s New in Antigravity 2.0: Understand the major upgrades Google introduced in Antigravity 2.0, including upgraded Gemini context windows, deeper multi-file reasoning, and native system-level agent execution.

Note: Whether you prefer the visual IDE or want to trigger agentic workflows via the CLI, the core architecture, context management, and prompting principles taught in this course apply across the entire Antigravity 2.0 ecosystem.

What You’ll Learn Inside

This is a hands-on, project-driven course. You won't just watch videos; you’ll build a repeatable AI system using Antigravity and the Gemini Developer Stack to write, debug, and automate your workflow.

You’ll go beyond simple prompting and learn to:

Use Antigravity to develop a full application from your ideas without writing manual code.
Understand session and context management to get more accurate and consistent output from Agentic AI.
Create rules and workflows to orchestrate the agent and control the quality of its output.
Build custom skills to provide the agent with specialized or organization-specific knowledge.
Automate the "Boring Stuff" by using the GitHub CLI for branch creation, commits, and Pull Requests.
Use browser sub-agents to test and verify everything the agent develops in real-time.
Manage project context using .md workflow files to keep the AI aligned with your coding standards.

Who This Course Is For

You don't need to be an AI researcher to take this course. It is designed for:

Developers & SDETs who want to automate repetitive coding and testing tasks.
QA Engineers looking to move from manual scripting to AI-agentic automation.
Tech Leads who want to bring the latest efficiency tools to their engineering teams.

Why You’ll Love This Course

Beginner-friendly setup: We start with the basics of AI, Agents, LLMs, and Antigravity, moving step-by-step into complex agentic architectures.
Hands-on with modern tools: Get direct experience using Antigravity and the GitHub CLI in real-world environments.
Future-proof your career: Master "Agentic Engineering"—a critical skill that is becoming mandatory for developers in 2026.
100% live demos: Everything is hands-on, showing real-time development and honest troubleshooting.
Real-world problem solving: I show the actual errors I encountered and exactly how the AI navigates through them to find solutions.

By the End of This Course

By the end of this course, you won't just be using an AI—you’ll be architecting one. You will have a fully functional AI assistant in your terminal that helps you code faster, stay organized, and ship high-quality projects with minimal manual effort. Most importantly, you will have the skills and confidence to transform into a professional Agentic Engineer.

Who this course is for:

Developers (beginner to experienced)
Business leaders, product managers, and team leads.
Designers, entrepreneurs, and creators with minimal coding experience.

Antigravity Masterclass: From Vibe Coder to Agentic Engineer

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 3min

Master the Gemini AI Ecosystem: LLMs, Chat Agents & Google AI Studio3 lectures • 9min

Introduction to Antigravity Ecosystem2 lectures • 9min

Antigravity 2.0 Desktop Application7 lectures • 18min

Hands On Demo: Build an application with Antigravity 2.03 lectures • 11min

Install and Navigate Antigravity IDE Step by Step2 lectures • 6min

Improve AI Results with Artifacts, Sessions, and Context5 lectures • 14min

Work on a Real Project Using Antigravity Agents4 lectures • 15min

Control Agents with Rules and Workflows in Antigravity5 lectures • 15min

Automate Pull Requests with Antigravity and GitHub CLI2 lectures • 10min

Requirements

Description

Who this course is for: