

Photo by editor
# Introduction
For the past two years, the artificial intelligence (AI) revolution in coding has felt like having a super-fast junior developer sitting next to you. Love the tools GitHub Coplot or Cursor You were amazing at finishing your sentences, but you still held the steering wheel for every turn. You have to copy-paste snippets, fix imports, and manually run tests to see if the AI really knows what it’s talking about.
We are officially over it. Google Antigravity “marks the beginning of”Agent First“ERA. It’s not just a copilot. It’s a platform where you stop being a typist and start being an architect. Google chose the name “AntiGravity” for a specific reason. There’s a huge amount of “gravity” in traditional development. It’s the heavy, painful weight of setting up an environment, developing boilerplate, and jumping between edginess. From the weeds of low-level syntax and up you to a higher, task-oriented level.
Instead of writing code line by line, you provide the vision. Integrated Development Environment (IDE) Autonomous agents handle builds, testing, and validation.


Google Anti-Gravity Landing Page | Photo by author
The story of Antigravity is actually a story of Google going back to its roots. On November 18, 2025, Google unveiled the InteGravity alongside their launch. Gemini 3 Model family. One of the most surprising parts of the Antigravity launch was the return of Google co-founder Sergey Brin. After years away from day-to-day operations, Byrne reportedly moved into “Founding mode“Working late into the night with engineers to improve the IDE’s agentive capabilities. The goal was to move it to Google.”search“two”Action,” and antigravity is the primary tool for this mission.
Antigravity did not appear out of thin air. Much of its DNA comes from a startup called Windsurf. Google realized that the Windsurf team had cracked the code of how AI agents should interact with the IDE, so they acquired the team in a massive $2.4 billion deal to lead the development of what we now know as Integrity.
Why didn’t Google just add these features to an existing tool? Because traditional IDES – like Visual Studio Code (VS Code) – Humans were designed to type. They assume that humans are the primary actor. Antigravity is rebuilt from the ground up, assuming an AI agent is the primary operator. This is a workspace “designed for”Web Coding,” where the speed of your ideas is the only thing that matters, not the speed of your typing.
# Getting started with antigravity
Before you can start orchestrating agents, you need to get the software on your machine. Since AntiGravity is built on a fork of VS Code, the installation process is familiar. However, there are some system-specific considerations to keep in mind to ensure that AI agents have enough resources to run smoothly.
// System requirements
AntiGravity is not a lightweight text editor. It is running a native model and a browser-based agent. Here’s what you need:
- macOS: You need Monterey (version 12) or later. Although Intel Max is supported, the experience is better for Apple silicon (M1/M2/M3/M4), as native AI estimation relies heavily on unified memory architecture.
- Windows: You need a 64-bit version of Windows 10 or 11. It is highly recommended to install the IDE on your primary system drive (usually the C: drive) to avoid any permissions when AI Agent tries to execute terminal commands.
- Linux: It supports most modern distributions such as Ubuntu (20.04+), Debian (10+), and Fedora (36+). Just make sure you have glebak 2.28 or higher
// Download process
To get the legitimate, latest version, skip the third-party mirrors and go directly to the official source: antigravity.google/download
Once there, you’ll see specific installers for each operating system (OS). Download the one that matches your machine, run the installer, and launch the application. You will be asked to set up your themes and describe how you intend to use the Integrity Agent.(Please stick to the reviewer recommended development approach). Then, you will be prompted “Sign in with Google. “Use the Gmail account you want associated with your AI quotas and cloud projects.


Signing in with Google Cloud Projects Sync | Photo by author
# Navigating the interface
The layout is designed to prevent you from reverse tabbing between different windows. Here are the five areas you’ll spend most of your time in:
Editor Panel: Center Stage This is the VS Code environment where code generated by the agent appears. You can still jump in and type manually whenever you want.


Main editor panel in Antigravity | Photo by author
Plan vs Fast Mode: In the agent panel, you’ll see a toggle.
- Plan mode is for larger tasks. It creates a “plan architect” for you to review before you start coding
- Fast mode is for quick edits, such as “Center this variable” or “Rename this variable”.


Toggling between project and fast modes | Photo by author
Agent Manager: This is your mission control. It lists each active task, displays the agent’s “reasoned” actions, and provides status indicators (running, success, or failure).


Managing Active AI Agent Tasks | Photo by author
Sample panel: Think of it as a “paper trail.” It stores specific logs, code differences, and projects that the agent generates


Reviewing prepared samples and records Photo by author
Browser Preview: A built-in version of Chrome. When the agent builds a web app, it automatically launches it here for testing


Testing a web application in the built-in browser Photo by author
# Creating your first project: an endless runner game
To see the power of agent-driven development, we’ll build a classic endless runner game using antigravity. HTMLfor , for , for , . CSS And JavaScript. The goal is to create an endless runner web game where the player controls a car traveling upwards. The goal is to avoid oncoming traffic (cars moving downhill). The game features difficulty levels (easy, medium, hard) and increasing speed as the player progresses.
// Step 1
Launch AntiGravity and create a new, empty folder. Open this folder in the IDE.
// Step 2
open Agent Manager And click New work. Paste the following prompt in the box:
Create an endless runner game, where there is a car that travels uphill endlessly, with other cars coming towards it, and it has to avoid them in order not to get hit, because once it is hit, it is game over. The game level can be changed from easy, medium to hard, and the higher you go in the game, the faster the cars come to hit you!


Entering the project index into Agent Manager | Photo by author
// Step 3
Once you press enter, the agent starts its workflow: it analyzes the provided signals and proceeds to the planning phase of the project. Once this is done, coding starts immediately. During this process you may be prompted to accept some reviews. Finally, during the validation phase, the agent will actually try to run the script. If it encounters an error (such as a missing library), it will automatically install the required library and try again.
what is here Implementation plan Generated by the agent looks like this:


AI-Generated Implementation Plan | Photo by author
The following walkthrough file contains the complete steps when building an endless runner game:


Review through a step-by-step walkthrough Photo by author
This is what the final output of the game looks like:


Final Game Interface | Photo by author
You move left and right to avoid oncoming cars.


Playing the endless runner game Photo by author
If you hit these cars, it’s game over.


More screen than game Photo by author
# wrap up
Google AntiGravity is a glimpse into a future where “writing code” is only a small part of being a developer. While deploying, testing, and debugging Gemini-powered agents, you’re free to focus on high-level architecture and user experience.
To get the most out of AntiGravity, you need to change the way you interact with your tools:
- Be specific but goal-oriented: Do not tell the agent how to write the loop. Tell him what the outcome should be
- Review the plan: Always read the implementation plan before clicking “Approve” in “Plan Mode.” This saves time in the long run
- Isolated work: Give the agent one clear mission at a time. If you want to create a login page and perform a database migration, run these tasks as two separate operations in Agent Manager.
Shito Olomide is a software engineer and technical writer passionate about leveraging modern technologies to craft compelling narratives, with a keen eye for detail and a knack for simplifying complex concepts. You can also get Shito Twitter.