Google Antigravity Review: Is This the End of Manual Coding?

Google Antigravity Review: Is This the End of Manual Coding?

If you search for "Google Antigravity," you used to find a whimsical browser trick where the search bar fell to the bottom of the screen due to simulated physics. It was a fun diversion for 2010. But that is history.

As of November 2025, Google Antigravity is the name of Google’s revolutionary new AI-First IDE (Integrated Development Environment). Launched alongside the massive Gemini 3 model, this tool isn't just trying to complete your code; it is trying to write it for you.

At SiTechra, we thrive on the bleeding edge of technology. We have been testing the preview release for the last week to answer one question: Is this just another "Copilot," or is it the future of software engineering?

Here is everything you need to know about the tool that claims to replace the "Copilot" era with the "Agent" era.


1. The "Agent-First" Revolution

To understand why Antigravity is different, we have to look at the evolution of coding tools:

  • Level 1 (The Editor): Notepad++ or VS Code. You type everything manually.
  • Level 2 (The Copilot): GitHub Copilot or Cursor. You type, and the AI suggests the next few lines. It acts like a very fast junior developer sitting next to you.
  • Level 3 (The Agent): Google Antigravity. This is where the paradigm shifts.

Antigravity is built on an "Agentic Workflow." Instead of writing code line-by-line, you assign high-level tasks to autonomous AI Agents.

For example, in our Enterprise Software Development tests, we gave it this prompt:

"Create a user dashboard component. It needs to fetch data from our '/api/stats' endpoint, display it in a chart using Recharts, and include a dark mode toggle styled with Tailwind CSS."

In a traditional IDE, you would have to create the file, import the libraries, write the fetch logic, and then style the UI. Antigravity did all of this in one go. It created the file structure, installed the necessary packages (Recharts), wrote the component logic, and even generated a unit test to verify the data fetching.


2. Manager View vs. Editor View

The interface—which is a heavily modified fork of VS Code—is split into two distinct modes that you can toggle between.

The Editor View

This looks like the VS Code you know and love. You have your file tree, your terminal, and your extensions. If you want to write code manually, you can. It supports all standard VS Code extensions, so you don't lose your favorite themes or linters.

The Manager View (The Game Changer)

This is where the magic happens. It looks less like a text editor and more like a "Mission Control" center.

  • Agent Nodes: You see your active AI Agents represented as nodes.
  • Thought Chains: You can watch the AI "thinking." It lists its plan: "1. Read documentation for Recharts. 2. Inspect current theme config. 3. Generate Component."
  • Artifacts: Instead of just dumping code into your file, it creates "Artifacts"—preview windows where you can accept or reject specific changes.

This aligns perfectly with our vision for AI & Automation Solutions, where the human role shifts from "doing the work" to "directing the strategy."


3. Powered by Gemini 3 Pro

Under the hood, Antigravity runs on Gemini 3 Pro (with options to switch to Gemini 3 Ultra for complex architecture planning). This model brings two massive advantages:

  1. 2 Million Token Context Window: The AI can "read" your entire codebase. If you ask it to "update the navigation bar," it knows exactly how that affects the footer, the mobile menu, and the routing file because it holds the whole project in memory.
  2. Multimodality: It understands images. You can drag a screenshot of a design mock-up into the chat, and it will code the CSS to match it pixel-perfectly.

4. Killer Feature: Browser Use Capability

This is the feature that dropped our jaws. Antigravity has "Computer Use" capabilities.

When you are debugging a Website Development project, you can tell the IDE: "The submit button is misaligned on mobile screens. Fix it."

The Agent will then:

  1. Spin up a headless Chrome browser instance in the background.
  2. Navigate to your localhost URL.
  3. Use computer vision to "look" at the page and identify the button.
  4. Edit your CSS files to fix the padding or margins.
  5. Refresh the browser to verify the fix works.
  6. Take a screenshot of the result and present it to you for approval.

This automated visual debugging is a massive time-saver for UI/UX Design workflows, eliminating the tedious "inspect element" loop.


5. Comparison: Antigravity vs. Cursor vs. VS Code

Feature VS Code (Base) Cursor (AI) Google Antigravity
Core Philosophy Manual Editing Smart Autocomplete Agentic Execution
Context Awareness Low (File only) High (RAG based) Massive (Gemini 3 Context)
Browser Capability None None Full Autonomous Use
Best For Purists Speed coding Project Management & Building


6. The SiTechra Verdict

Is Google Antigravity perfect? No.

It is currently in Public Preview. We noticed that rate limits can be tight, and occasionally the Agent gets stuck in a loop when trying to solve complex logic errors in legacy code. It is not ready to completely replace a Senior Engineer.

However, the potential is undeniable.

For rapid prototyping, building standard CRUD applications, and refactoring large codebases, it is significantly faster than any tool we have used before. We believe that by 2026, "Agentic IDEs" will become the industry standard.

At SiTechra, we are already integrating these tools into our workflow to deliver faster, more robust solutions for our clients.

Do you have a complex software idea? Don't just build it—engineer it with the latest AI technology.

Start Your Project with SiTechra Today.