What Is Google Antigravity? A Guide to Building Software with AI Agents (2026)

What Is Google Antigravity?

Google Antigravity is a free development platform Google released as a public preview on November 18, 2025, built around developing software with AI agents. It is based on VS Code, but it differs from a classic code editor in one important way. In Antigravity, the center of the workflow is not you and your keyboard but AI agents working on your behalf. You describe the goal, and the agents plan, write the code, use the terminal, and test the application by actually clicking through it in an integrated Chrome browser. That is the shortest answer to "what is Google Antigravity": an agent-first development environment where you go beyond writing code with Gemini and hand the work to agents end to end.

I have been producing digital projects for world-renowned luxury brands for years, and AI coding tools are a heavy part of my daily workflow. In this guide I will explain Antigravity from a real-usage perspective. The launch story, Agent Manager, Artifacts, browser use, supported models, the Antigravity CLI, and setup steps are all here. If the broader concept is new to you, start with What Is Vibe Coding.

The Launch Story: From November 2025 to Today

Antigravity was announced as a public preview on November 18, 2025. With this product, Google gave its own answer to the agent-based development race opened up by tools like Cursor and Claude Code. The first release was built on the VS Code foundation, and from day one it embraced an agent-first architecture rather than the classic autocomplete-assistant approach.

Version 2.0, released in May 2026, was a major step. The platform gained a desktop application for macOS, Windows, and Linux, joined by the Antigravity CLI written in Go. As of July 2026, when I am writing this, the current version is 2.3.1. Released on July 16, 2026, it brought features such as a message queue, the Guide skill, audio file playback, and smart file search. In other words, the product is still evolving at a fast pace.

What Does Agent-First Development Mean?

In classic AI-assisted editors the flow goes like this: you write code, the model suggests lines, you accept or reject. Antigravity flips that relationship. You define a task, for example "add spam protection to the contact form and test it." The agent breaks the task into steps, finds the relevant files, changes the code, builds in the terminal, fills out and submits the form in the browser, and reports the result back to you. Your role is not to type code line by line but to direct and verify.

The industry name for this approach is agent-based development. If you are curious about the theory behind it, I covered it in detail in my article on developing software with AI agents.

Agent Manager: Running Multiple Agents at Once

Antigravity's most distinctive screen is the Agent Manager. It is a control panel where you oversee your agents like a project manager. You can run several agents at the same time. One fixes a bug while another builds a new feature and a third writes documentation. You see each agent's status, which step it is on, and whether it is waiting for your approval, all on one screen.

In practice this means work you used to do sequentially can now run in parallel. You work as if managing a small team, except your team members are AI agents. It takes a few days to get used to, but once you do, it is hard to go back.

Artifacts: The Agent Proves Its Work

The biggest problem with agent-based tools is trust. When the agent says "done," is it really done? Antigravity answers this question with Artifacts. As agents work, they produce verifiable outputs:

• Task lists: show how the agent broke the job into steps.
• Implementation plans: lay out in writing what it will do before touching code, and you approve.
• Screenshots: document how the change looks in the interface.
• Browser recordings: capture as video the steps it took while testing the application.

So you rely on the agent's evidence, not its claims. Even someone who cannot review code can look at a screenshot and a browser recording and see that the work actually runs. In my view, Artifacts is where Antigravity separates itself most clearly from its rivals.

The Integrated Browser: The Agent Actually Tests Your App

Antigravity agents have access to three surfaces: the editor, the terminal, and an integrated Chrome browser. The browser access changes the game. The agent opens the web app it wrote, clicks buttons, fills out forms, reads console errors, and goes back to fix in code what it saw break. It does not stop at "the code compiled, hopefully it works." It behaves like a real user and verifies the outcome.

In my own projects, this loop pays off most with interface bugs. The agent can spot a broken style from a screenshot and fix it. That automates a large share of the manual review passes a human would otherwise do.

Supported Models: Not Just Gemini

Despite the Google name, Antigravity is not locked to one model. As of July 2026, the supported models are:

• Gemini 3.1 Pro: Google's current flagship, the default choice for complex tasks.
• Gemini 3 Flash: fast and economical, practical for simple tasks.
• Claude Sonnet 4.6 and Claude Opus 4.6: Anthropic's models, strong options especially for code quality and complex logic.
• GPT-OSS-120B: open-weight model support.

Being able to pick a model per task is a real advantage. One note: the much-anticipated Gemini 3.5 Pro is not on this list because, as of mid-July 2026, it still has not shipped.

Coding with Gemini: What Daily Use Feels Like

Writing code with Gemini in Antigravity happens on two layers. The first layer is classic editor assistance: the model is right beside you while completing code or explaining a selected block. The second and more important layer is agent tasks. Here is the routine I have settled into: for quick, mechanical jobs I pick Gemini 3 Flash because the wait time is short. For work that requires thinking, such as architectural decisions, multi-file refactors, and bug hunts, I go with Gemini 3.1 Pro or Claude Opus 4.6. Switching models between tasks within the same project takes a few seconds.

The message queue that arrived with version 2.3.1 has also smoothed out the daily flow. You can queue up the next instructions before the agent finishes its current task, and it works through them in order. The Guide skill is a built-in helper that reduces the "what do I do now" moments for newcomers. Smart file search speeds up finding the right file in large projects. These details look small but add up to serious time savings by the end of the day.

One more tip: give tasks in plain language but with measurable acceptance criteria. Instead of "make the form nicer," say "collapse the form fields into a single column on mobile and show a success message on submit." The quality of an agent's output is directly proportional to the clarity of the instruction. That shows the skill of prompt engineering remains just as relevant in the agent era.

The Antigravity CLI and the Gemini CLI Transition

For those who love working in the terminal, the Antigravity CLI that arrived with version 2.0 is an important piece. Written in Go, it brings the agent capabilities to the command line without opening an editor.

There is a critical development here for Gemini CLI users. Google converted the Gemini CLI into the Antigravity CLI. Consumer access completed the transition on June 18, 2026. On the enterprise side, meaning Gemini Code Assist Standard and Enterprise users, access did not change. The Agent Skills, Hooks, Subagents, and Extensions from the Gemini CLI ecosystem continue as Antigravity plugins. The workflows you built with the Gemini CLI are not lost, they carry on under the new roof.

How to Install Antigravity: Your First Project

Here is the roadmap to get started:

1. Download and sign in

Download the macOS, Windows, or Linux version from the official Antigravity page and sign in with your Google account. During the preview period usage is free with generous limits.

2. Open your project

You can open an existing project as a folder or start from scratch with an empty one. If you have used VS Code, the interface will feel immediately familiar, and most of your extensions and shortcuts will work.

3. Give the first task

Start a new agent from the Agent Manager and state the goal clearly. Not "do something," but a concrete brief like "Build a one-page landing site with a headline, three feature cards, and a contact form, and make it mobile friendly."

4. Approve the plan, verify with Artifacts

The agent first presents its implementation plan. Read it, adjust if needed, then approve. When the work is done, check the result through the screenshots and the browser recording. This verification habit is the most important discipline of working with agents.

Who Is Antigravity For?

In my experience it makes sense for three groups:

• Developers who want to try the agent workflow: being free removes the entry barrier, and the VS Code base keeps switching costs low.
• People in the Gemini ecosystem: a natural next step for those coming from the Gemini CLI or working with Google tools.
• People who can read code but do not want to write every line: Artifacts makes it possible to verify work through evidence.

For people with no coding knowledge whose only goal is to ship a product fast, tools like Lovable or Bolt may be a shorter path. Antigravity is aimed at those who want to stay inside the development process.

Limits and Things to Watch

Let me paint an honest picture. Antigravity is still a preview-maturity product, and the fast release cadence occasionally brings rough edges. The terms of the free period may change later, so it is worth checking the current status on the official page. Parallel agent management is powerful but has a learning curve. Start with a single agent rather than running five at once on day one.

There is also an industry reality. According to a 2026 industry study, 92 percent of US developers use an AI coding tool daily, but only 29 percent trust the code it produces. That trust gap is not specific to Antigravity, it applies to every tool. The answer is to never leave the agent unsupervised, read the plans, and verify the outcome in the Artifacts. I examined how Antigravity stacks up against its rivals in my Antigravity vs Cursor vs Claude Code comparison.

Verdict: Is It Worth Trying?

Yes. Antigravity is one of the most ambitious platforms where you can see, for free, where agent-based development stands today. Parallel work through the Agent Manager and evidence-based verification through Artifacts are two genuinely fresh ideas. If you want to learn to use these tools hands-on and systematically, my AI Training program covers agent workflows end to end. If you would rather have an expert build your project, you can reach me through my consulting page.