Antigravity IDE Interface
Unofficial Community Guide • Updated Dec 2025

The Ultimate Guide to Antigravity IDE

Comprehensive tutorials, comparisons, and setup guides for developers.

Check Availability📦 Agent Rules🔧 Fix Errors

⚡ Faster than Cursor?

Cursor is great, but Antigravity has Gemini 3 context windows for free (preview).

See the benchmark →

🛡️ Safety Sandbox

Prevent the Agent from deleting your files.

allow_delete_files: false
View Security Configs →

🐍 Python Native

Forget extensions. Antigravity runs a local Jupyter kernel that understands your dataframes. Just type "Analyze this" in a cell.

Supports .ipynb & .py

Try the Easter Egg →

⚖️ The Honest Truth

Is it actually better than Cursor? We tested both on large Next.js repos. The results might surprise you.

See the comparison →

Latest Insights

Opinion

Why I'm Switching from Cursor to Antigravity (The $20 Debate)

The math behind Gemini 3 + Claude Opus 4.5 bundle.

Review

Hands-on Review: Google's "Cursor Killer"

Testing the Agentic workflow on a real Next.js project.

Download Center

PlatformVersionDownload
Windows (x64)v0.1.2 PreviewView Setup Guide →
macOS (Apple Silicon)v0.1.2 PreviewView Setup Guide →
macOS (Intel)v0.1.2 PreviewView Setup Guide →

Why Developers Are Switching

2 Million Token Context

Most AI IDEs truncate your codebase to save costs. Antigravity leverages Gemini 1.5 Pro's massive context window to hold your entire repository in memory. This means when you ask "Where is the user authentication logic?", it doesn't just guess based on file names—it actually "sees" the code in auth.ts, middleware.ts, and your database schema simultaneously.

  • ✓ No "missing context" hallucinations
  • ✓ Refactor across 50+ files in one go
  • ✓ Understands complex monorepo dependency graphs

Jupyter Native

Data Scientists often feel left out of the AI IDE revolution. Antigravity changes that. It treats .ipynb files as first-class citizens. You can have the AI Generate a matplotlib chart, execute the cell, see the error, fix the error, and re-run it—all without you touching the keyboard. It's like having a senior data engineer pair-programming with you.

  • ✓ Interactive plots inside the chat window
  • ✓ Auto-fix pandas dataframe shape mismatches
  • ✓ Local kernel execution for privacy

Agentic Workflows

Chatting is slow. Agents are fast. Antigravity allows you to spawn background agents. Tell an agent: "Go read the documentation for Stripe API v12 and verify if our payment flow in checkout.tsx is compliant." The agent will browse the web, read the docs, analyze your code, and write a report—while you continue coding a different feature.

  • ✓ Background research tasks
  • ✓ Automated regression testing
  • ✓ Self-healing linter fixes

Community Feedback

"I was skeptical about leaving VS Code. But the 'Fix It' button in the terminal actually works. It saved me 3 hours of debugging a weird webpack issue yesterday."

Sarah J.Senior Frontend Dev

"Finally, an AI that understands my Jupyter Notebooks. The context window is insane—it actually remembers the dataframe schema I loaded 3 hours ago."

Michael C.Machine Learning Engineer

"The free preview is generous. I built an entire MVP in a weekend using the Agent to write the boilerplate. It feels like cheating."

David K.Indie Hacker

Frequently Asked Questions

Is Antigravity completely free?

Antigravity is currently in Public Preview, which means the core IDE and the Gemini 3 agent are free to use. However, Google has stated that heavy API usage (beyond a generous daily tier) may eventually require a Google Cloud account or a Gemini Advanced subscription. For now, enjoy the uncapped potential.

Can I use my existing VS Code extensions?

Yes! Antigravity checks the OpenVSX registry. When you first install it, it can import your profile from VS Code. Most extensions (Prettier, ESLint, GitLens, Python) work out of the box because the editor engine is based on the same open-source core.

Does it support Python and Jupyter Notebooks?

Python support is first-class. Unlike other editors that treat Notebooks as static files, Antigravity integrates a live kernel. You can ask the AI to 'plot this column' and it executes the Python code in your local environment to generate the chart immediately.

How does the 'Context Window' work?

Traditional LLMs can only see small snippets of code (approx 30 files). Gemini 3 Pro has a 2 Million token window, allowing it to ingest tens of thousands of files. Antigravity uses a smart indexing system to rank-retrieve relevant files, but defaults to sending the whole module context when you ask complex architectural questions.

What OS does it run on?

We have native builds for Windows 11 (x64), macOS (Apple Silicon & Intel), and Linux (Debian/Ubuntu .deb). For Windows users, we strongly recommend using WSL2 for the best terminal performance and file system speed.

Complete Installation Guide

📱 System Requirements

Minimum:

  • • 4GB RAM (8GB recommended)
  • • 2GB free disk space
  • • Windows 10 v1903+ / macOS 10.14+ / Ubuntu 18.04+
  • • Internet connection for AI features

Optimal Performance:

  • • 16GB+ RAM for large codebases
  • • SSD storage for faster indexing
  • • Multi-core CPU for agent workflows
  • • WSL2 on Windows for best experience

⚡ Quick Start Steps

Step 1: Download the installer for your platform from our installation page.

Step 2: Run the installer and follow the setup wizard. It will automatically detect and migrate your VS Code settings if desired.

Step 3: Sign in with your Google account to activate Gemini 3 AI features.

Step 4: Open your first project and ask the AI: "Show me the main entry point of this codebase."

That's it! You're ready to experience AI-powered development.

🔧 Configuration Tips

Privacy Settings: Navigate to Settings → AI → Privacy to configure how much context you're comfortable sharing with Gemini.

Extensions: Most VS Code extensions work seamlessly. Install them through the built-in marketplace.

WSL2 Setup: Windows users should enable WSL2 integration for optimal terminal performance and Docker support.

Keyboard Shortcuts: Press Ctrl+Shift+P to open the command palette and discover AI commands.

How Antigravity Compares to Popular IDEs

FeatureAntigravityCursorProject IDX
AI ModelGemini 2.0Claude 3.5Gemini
PlatformCloud/Web-firstLocal (Forked VS Code)Cloud Only
Best ForFull-stack Cloud DevLocal RefactoringFlutter / Quick Starts
PriceFree Preview / TBD$20/moFree Preview

🎯 Best for: Large Codebases

If you're working on enterprise applications with 100+ files, Antigravity's massive context window gives it a significant advantage. It can understand complex dependency relationships that other IDEs miss.

📊 Best for: Data Science

Native Jupyter support puts Antigravity ahead for ML engineers and data scientists. The AI can execute, debug, and visualize your data analysis workflows interactively.

💰 Best for: Budget-Conscious

The free preview is genuinely useful, not just a trial. You get full access to Gemini 3 capabilities without the monthly subscription fees of competing tools.

Popular Use Cases & Tutorials

🚀 Building a Next.js App

Start with "Create a Next.js app with TypeScript, Tailwind, and a simple blog structure." The AI will scaffold the entire project, configure the build system, and even add sample content.

What the AI handles:

  • • Package.json with optimal dependencies
  • • TypeScript configuration
  • • Tailwind setup and basic components
  • • Routing and layout structure
  • • Sample blog posts with MDX
Read full tutorial →

🔬 Data Analysis Workflow

Upload a CSV file and ask: "Analyze this sales data for trends and create visualizations." The AI will load the data, perform exploratory analysis, and generate interactive charts.

Automatic steps:

  • • Data loading and shape inspection
  • • Missing value detection
  • • Statistical summary generation
  • • Correlation analysis
  • • Matplotlib/Seaborn visualizations
Try the Python Easter Egg →

🐛 Legacy Code Refactoring

Point Antigravity at an old codebase and request: "Modernize this jQuery code to React with TypeScript." The large context window ensures all dependencies and patterns are preserved.

AI capabilities:

  • • Cross-file dependency tracking
  • • Pattern recognition and conversion
  • • Type safety improvements
  • • Modern framework adoption
  • • Automated testing additions
Migration strategies →

🧪 Test-Driven Development

Write failing tests first, then ask the AI to implement the functionality. It understands test frameworks and can generate comprehensive test suites.

Testing features:

  • • Jest, Vitest, Playwright support
  • • Component testing strategies
  • • Mock generation and setup
  • • E2E scenario creation
  • • Coverage analysis insights
Debugging workflows →

🔌 API Integration

Provide an API documentation URL and request integration. The AI will browse the docs, understand the authentication flow, and implement the complete client.

Integration handling:

  • • OpenAPI specification parsing
  • • Authentication implementation
  • • Error handling and retries
  • • TypeScript interface generation
  • • Usage examples and docs
Browser automation guide →

🏗️ DevOps and Deployment

Ask for "Docker containerization with GitHub Actions CI/CD pipeline." The AI will create Dockerfiles, compose files, and complete workflow configurations.

DevOps automation:

  • • Multi-stage Dockerfile optimization
  • • Docker Compose for development
  • • GitHub Actions workflow setup
  • • Environment configuration
  • • Security best practices
Docker integration →

Common Issues & Solutions

🚨 Installation Problems

Most installation failures are due to Windows path length limits or insufficient permissions.

Complete installation troubleshooting →

⚡ Performance Issues

Slow response times are often caused by large file indexing or insufficient memory allocation.

Performance optimization guide →

🔌 WSL2 Configuration

Windows users need proper WSL2 setup for optimal terminal and file system performance.

WSL2 setup and fixes →

Need More Help?

Browse our comprehensive troubleshooting database with solutions for 50+ common issues, from installation problems to advanced configuration challenges.

View All Solutions