Google Antigravity: Complete Guide & How to Use It (2026)

Google Antigravity is Google's AI-powered coding assistant that integrates deeply with the Google Cloud ecosystem. Launched as part of Google's developer tools suite, Antigravity combines Gemini's language understanding with code generation, debugging, and deployment capabilities.

This guide covers everything you need to know about Google Antigravity: what it does, how to set it up, its key features, and how it compares to alternatives like GitHub Copilot, Cursor, and Claude Code.

What Is Google Antigravity?

Google Antigravity is an AI coding assistant developed by Google that leverages Gemini models to help developers write, understand, debug, and deploy code. It is available as:

A VS Code extension
A JetBrains plugin
A standalone CLI tool
An integrated feature in Google Cloud Shell and Cloud Workstations

Note: Google Antigravity is distinct from the classic Python Easter egg (import antigravity), which simply opens a web comic. Google's Antigravity is a full AI coding platform.

Core Features

Feature	Description
Code generation	Generate code from natural language descriptions
Code explanation	Understand unfamiliar code with AI-powered explanations
Smart completion	Context-aware autocomplete across entire projects
Debugging	AI-assisted bug detection and fix suggestions
Code transformation	Refactor, translate between languages, modernize code
Cloud integration	Direct deployment to Google Cloud services
Multi-file awareness	Understands project context across files
Terminal integration	AI-powered command line assistance

How to Set Up Google Antigravity

VS Code Extension

Step 1: Install the extension

# Via VS Code marketplace
# Search for "Google Antigravity" in the Extensions panel
# Or install via command line:
code --install-extension google.antigravity

Step 2: Sign in with your Google account

After installation, the extension prompts you to authenticate. You need a Google account with access to Gemini API (free tier is available).

Step 3: Configure settings

// .vscode/settings.json
{
  "google.antigravity.model": "gemini-2.5-pro",
  "google.antigravity.completions.enabled": true,
  "google.antigravity.completions.delay": 300,
  "google.antigravity.chat.enabled": true,
  "google.antigravity.codeActions.enabled": true,
  "google.antigravity.telemetry": false
}

JetBrains Plugin

1. Open Settings/Preferences > Plugins
2. Search for "Google Antigravity"
3. Install and restart the IDE
4. Sign in when prompted

CLI Tool

# Install via npm
npm install -g @google/antigravity-cli

# Or via pip
pip install google-antigravity

# Authenticate
antigravity auth login

# Start using
antigravity chat "How do I set up a Cloud Run service?"

Key Features in Detail

1. Inline Code Generation

Type a comment describing what you want, and Antigravity generates the code:

# Create a function that validates email addresses using regex
# and returns a tuple of (is_valid, error_message)

def validate_email(email: str) -> tuple[bool, str | None]:
    import re
    pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
    if not email:
        return False, "Email cannot be empty"
    if not re.match(pattern, email):
        return False, "Invalid email format"
    return True, None

2. Multi-File Context Understanding

Unlike simpler tools, Antigravity indexes your entire project to provide context-aware suggestions:

// In your component file, Antigravity knows about your types
// from other files without explicit imports
// It references your API routes, database schema, and configs

// types/user.ts defines User interface
// api/users.ts defines fetchUser function
// Antigravity auto-suggests based on both:

const UserProfile = ({ userId }: { userId: string }) => {
  const [user, setUser] = useState<User | null>(null);

  useEffect(() => {
    fetchUser(userId).then(setUser);  // Antigravity knows this function
  }, [userId]);

  // ... Antigravity suggests rendering based on User type fields
};

3. AI-Powered Debugging

Highlight an error and ask Antigravity to debug it:

# Before: Buggy code
def merge_sorted_lists(list1, list2):
    result = []
    i, j = 0, 0
    while i < len(list1) and j < len(list2):
        if list1[i] <= list2[j]:
            result.append(list1[i])
            i += 1
        else:
            result.append(list2[j])
            j += 1
    return result  # Bug: doesn't append remaining elements

# Antigravity fix suggestion:
def merge_sorted_lists(list1, list2):
    result = []
    i, j = 0, 0
    while i < len(list1) and j < len(list2):
        if list1[i] <= list2[j]:
            result.append(list1[i])
            i += 1
        else:
            result.append(list2[j])
            j += 1
    result.extend(list1[i:])  # Added: append remaining from list1
    result.extend(list2[j:])  # Added: append remaining from list2
    return result

4. Google Cloud Integration

Antigravity's standout feature is deep Google Cloud integration:

# Deploy to Cloud Run directly from the chat
antigravity deploy --service my-api --region us-central1

# Generate Terraform for GCP infrastructure
antigravity generate terraform "A Cloud Run service with Cloud SQL
PostgreSQL, connected via VPC connector, with a Cloud CDN frontend"

# Troubleshoot GCP issues
antigravity diagnose "My Cloud Run service is returning 503 errors"

5. Code Translation

Convert code between languages:

Input (Python):
def fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

Output (Rust - generated by Antigravity):
fn fibonacci(n: u64) -> u64 {
    if n <= 1 {
        return n;
    }
    fibonacci(n - 1) + fibonacci(n - 2)
}

Pricing

Tier	Monthly Cost	Features
Free	$0	Basic completions, 50 chat messages/day, Gemini Flash
Standard	$19/mo	Unlimited completions, 500 chat messages/day, Gemini Pro
Enterprise	Custom	Unlimited everything, custom models, private deployment
Google Cloud subscriber	Often included	Bundled with certain GCP plans

The free tier is generous enough for individual developers working on personal projects.

Google Antigravity vs Alternatives

Feature	Google Antigravity	GitHub Copilot	Cursor	Claude Code
Monthly price	$0-19	$10-39	$20-40	$100-200 (Max)
AI model	Gemini 2.5 Pro	GPT-4o / Claude	GPT-4o / Claude	Claude Opus 4
Inline completions	Yes	Yes	Yes	No (CLI-based)
Chat interface	Yes	Yes	Yes	Yes (terminal)
Multi-file context	Excellent	Good	Excellent	Excellent
Cloud deployment	Google Cloud	GitHub Actions	No	No
Language support	30+ languages	30+ languages	30+ languages	30+ languages
Offline mode	No	No	No	No
Open source	No	No	No	No
Self-hostable	Enterprise only	Enterprise only	No	No
Terminal/CLI	Yes	Yes (limited)	No	Yes (primary)

Strengths and Weaknesses

Google Antigravity Strengths:

Best-in-class Google Cloud integration
Generous free tier
Gemini 2.5 Pro provides excellent reasoning
Strong multi-file context understanding

Google Antigravity Weaknesses:

GCP-centric (less useful for AWS/Azure users)
Newer tool with smaller community
Enterprise features require GCP subscription
Less effective for non-Google cloud deployments

Tips for Getting the Most Out of Antigravity

Keep your project well-structured: Antigravity's context engine works better with clean project organization
Use descriptive variable and function names: Better names give the AI more context for suggestions
Write comments before code: Antigravity generates better code from descriptive comments
Leverage the /explain command: Use it to understand unfamiliar codebases quickly
Use /test to generate tests: Antigravity can generate comprehensive test suites from existing code

# CLI examples
antigravity explain src/utils/auth.ts
antigravity test src/utils/auth.ts --framework jest
antigravity refactor src/legacy/old-module.js --target typescript

Common Use Cases

Rapid Prototyping

antigravity generate project "A FastAPI backend with SQLAlchemy,
JWT auth, CRUD endpoints for a todo app, Docker setup,
and Cloud Run deployment config"

Code Review Assistance

# Review a file for potential issues
antigravity review src/api/handlers.py

# Review a git diff
git diff main..feature-branch | antigravity review --stdin

Documentation Generation

# Generate API docs from code
antigravity docs src/api/ --format openapi

# Generate README from project structure
antigravity docs . --format readme

Frequently Asked Questions

Is Google Antigravity free?

Yes, there is a free tier that includes basic completions and 50 chat messages per day using Gemini Flash. The paid Standard tier ($19/month) unlocks Gemini Pro and higher usage limits.

Does Antigravity work offline?

No. Antigravity requires an internet connection to communicate with Google's Gemini models. There is no offline mode.

Can Antigravity access my private code?

According to Google's privacy policy, code sent to Antigravity is processed for generating responses but is not used for training models (for paid tiers). Free tier usage may be used for improvement purposes. Check the latest terms for your specific plan.

Does it work with non-Google cloud providers?

Yes, Antigravity can generate code for any platform. However, its deployment and infrastructure features are optimized specifically for Google Cloud.

Conclusion

Google Antigravity is a strong choice for developers already in the Google Cloud ecosystem. Its free tier is generous, Gemini 2.5 Pro provides excellent code generation, and the GCP integration is unmatched.

For developers who also work with AI-generated media -- images, video, voice, or 3D models -- Hypereal AI provides a complementary API that covers the creative side. While Antigravity handles code, Hypereal AI handles the media generation with access to models like Flux, Sora 2, Kling, and more through a single unified API.