Hands-On with Google Antigravity: My First 24 Hours (Review)

The hype around Google Antigravity has been deafening. An “Agent-First” IDE? A “VS Code Killer”? Powered by Gemini 3 Pro? It sounds too good to be true.

So, I decided to put it to the test. I downloaded the Public Preview, installed it on my Mac, and spent the last 24 hours trying to build a real application—a personal finance dashboard—using only autonomous agents.

Here is what I found.

The “Mission Control” Experience

The first thing you notice is that Antigravity doesn't look like a text editor. It looks like a dashboard.

Instead of a file tree, the default view is Mission Control. This is where your agents live.
* The Interface: It’s clean, futuristic, and slightly intimidating. You have a “Commander” input box at the bottom where you issue orders.
* The Agents: You can spawn multiple agents. I created three: “Frontend,” “Backend,” and “QA.”

The Build Process

I started with a simple prompt:
> “Create a Next.js app with a dashboard showing a dummy chart of monthly expenses. Use Tailwind CSS.”

The Good: It Actually Works

The “Frontend” agent didn't just give me code snippets. It:
1. Ran `npx create-next-app`.
2. Installed `recharts` (for the chart).
3. Created the component files.
4. Opened the internal browser and showed me the result.

This “Loop” capability—where the agent acts, checks, and fixes—is the real magic. When the chart didn't render because of a missing import, the agent saw the error in the console and fixed it before I even noticed.

The Bad: The “Loop of Death”

It wasn't all smooth sailing. At one point, I asked the “Backend” agent to set up a Supabase connection. It got stuck in a loop trying to read a documentation file that didn't exist. It kept retrying… and retrying… and retrying. I had to manually kill the agent process.

Lesson: Antigravity agents are persistent, sometimes to a fault.

Gemini 3 Pro: The Brains

The intelligence powering this is Gemini 3 Pro.
* Context Window: It is massive. I fed it a 50-page PDF of API documentation, and it understood every endpoint perfectly.
* Speed: It is noticeably faster than GPT-4o based tools. The latency between “Prompt” and “Action” is very low.

The “Artifacts” System

One feature I loved was Artifacts. Whenever an agent finished a task, it generated a “Mission Report”—a markdown file summarizing what it did, what files it touched, and what I should test. This made me feel much more in control of the chaos.

Final Verdict: Is It Ready?

Yes and No.

* For Production? Probably not yet. The “Loop of Death” bugs are too risky for a tight deadline.
* For Experimentation? Absolutely. It feels like the future. The ability to orchestrate multiple agents is a superpower that I don't want to give up.

If you are a Vibe Coder, you need to try this. It is the closest we have ever come to “Computer, build me an app.”

At BYS Marketing, we are already training our team on Antigravity. We believe that mastering these tools early gives us a competitive edge in delivering complex software at record speeds.

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Want to build the future?
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