Google Antigravity Crash Course: Google Antigravity In a Day

Name: Google Antigravity Crash Course: Google Antigravity In a Day
Rating: 4.3 (224 reviews)

Master Google Antigravity IDE & Agents Panel (Last Update: 05/2026)

Created bySoftware Engineer Meets AI

Last updated 5/2026

English

What you'll learn

Master Google Antigravity IDE and Agent Manager to build and manage AI agents.
Use Artifacts, Workflows, Rules, Agent Skills the right way
Stay up to date with all the latest Google Antigravity news and updates.
Learn Best Practices for Building Maintainable, Production-ready Applications.

Course content

8 sections • 27 lectures • 2h 6m total length

Welcome to the Course!0:29
What is Google Antigravity?1:43
Never Stop Learning! What should we cover next?0:04

Deep dive into Google Antigravity’s Chat2:50
Models - What They Are and the Basic Terms3:13
How to choose the right model for Coding2:44
Models in Google Antigravity1:08
Google Antigravity First Prompt10:00
Browser Sub Agent3:26
Artifacts2:42
Explore the six artifacts: task lists, implementation plans, walkthroughs, screenshots, browser recordings, and knowledge items, and see how they guide planning, execution, and learning your code base.
Rules9:54
Agent Skills4:19
Workflows4:13

Agents Manager Overview6:30
Learn how to use the agent manager panel to orchestrate multiple workspaces, run parallel conversations, view diffs, and open files in an IDE, including planning and artifacts management.
Agents Manager + Git Worktrees7:02
The whole workflow:
1. Create a new Worktree
git worktree add -b my-feature-branch
Example:
# git worktree add ../my-feature-branch -b my-feature-branch

2. Commit the changes to the new branch
git add
git commit -m "this is the commit message"

3. Push the commit to remote branch
git push -u origin my-feature-branch
# This pushes my-feature-branch to your remote (GitHub, GitLab, etc.)

4. Create a PR and Merge the first worktree

5. Pull the new "main" to another worktree
git fetch origin
# Fetches all branches from the remote
git rebase origin/main
# Puts your commits on top of the latest main

5 Ways To Maximize Your Tokens3:57
Gemini Conductor4:43
Install Gemini Conductor, a Gemini cli extension that uses context-driven development to reduce hallucinations and guide code generation in large brownfield projects.
How to turn Google Stitch Design Into A real App5:09
Turn a Google Stitch design into a real app by following design, plan, implement, backend, and deployment steps, using open source components and clear frontend-backend data flow.
Why "The Best Coding Model" is Totally BS4:16
The Biggest MCP Problem, and the Workflow That Fixes It3:45

Requirements

Basic Git Usage

Description

This course is a hands-on, practical deep dive into Google Antigravity, built specifically for software developers who want to stop experimenting blindly and start working productively with AI Coding Agents inside a real IDE.

You will not just learn what buttons to click. You will learn how Google Antigravity actually fits into real development workflows, how AI Coding Agents plan and execute tasks, and how to use them to build maintainable, production-ready applications you would be confident shipping to users.

What you get in this course:

Master Google Antigravity IDE and Agents Panel
Lifetime access with continuous Google Antigravity updates
Build a real project using Google Antigravity
Improve daily productivity with Antigravity workflows
Master chat, modes, models, and artifacts in Antigravity
Use Agents inside Google Antigravity effectively
Navigate the Google Antigravity IDE and workspace structure
Use skills and rules for maintainable projects
Install and configure Google Antigravity on macOS and Windows
Choose the right models for planning and execution
Write better prompts for AI Coding Agents
Understand Model Context Protocol and when to use it
Plan features before writing production code
Set up Google Antigravity for existing projects
Start new projects with Google Antigravity correctly
Avoid common risks when using MCP

Who this course is for:

Beginner Developers Who Wants to Master AI Coding

Google Antigravity Crash Course: Google Antigravity In a Day

What you'll learn

Explore related topics

Course content

Course Overview3 lectures • 2min

Antigravity 2.01 lecture • 9min

Getting Started With Google Antigravity3 lectures • 7min

Overview of Google Antigravity IDE Extension10 lectures • 44min

Agents Manager Panel2 lectures • 14min

Google Antigravity Projects2 lectures • 26min

New Updates1 lecture • 3min

Extra5 lectures • 22min

Requirements

Description

Who this course is for: