If you've been using GitHub Copilot for a while and you're considering switching to Antigravity, the first thing you'll probably notice is: "These two tools feel similar on the surface, but something is fundamentally different."
That feeling is right — and it's actually a good sign. Copilot and Antigravity are built around different philosophies. Copilot is a completion tool: it watches what you're typing and predicts what comes next. Antigravity is designed as an AI development partner: it understands your entire project structure, participates in design discussions, and can carry out multi-file changes autonomously.
This guide is written specifically for developers who are already comfortable with Copilot. If you're completely new to Antigravity, check out the Antigravity Beginner's Guide first. Here, we'll focus on translating your Copilot habits into Antigravity workflows.
Understanding the Core Differences Before You Start
Rushing into the migration without understanding the architectural differences is the most common mistake. Many developers give up early because Antigravity feels "slower" or "less intuitive" than Copilot — but they're usually comparing the wrong things.
Depth of Context Awareness
GitHub Copilot primarily reads the current file and a handful of open tabs to generate completions. Antigravity builds a full index of your workspace, including type definitions, import graphs, and architectural patterns across all your files.
Here's a concrete example: when you add a new method to UserService.ts, Copilot suggests code based on the existing code in that file. Antigravity looks at how UserController.ts and UserRepository.ts are written and suggests something that fits the patterns already established in your codebase — consistent naming, error handling style, and return types included.
The Interaction Model
Copilot is centered on the inline completion loop: code appears, you press Tab, done. Antigravity has inline tab completion too, but its real power comes from using three modes together: Chat (Cmd+L), Inline Edit (Cmd+I), and Agent mode.
Most Copilot users who switch to Antigravity and feel underwhelmed are only using tab completions. Once Agent mode becomes a habit, the experience changes completely.
Step 1: Setting Up Antigravity
The goal is to preserve your existing development environment while layering Antigravity on top.
# macOS — install via Homebrew
brew install --cask antigravity
# Or download the installer from antigravity.googleWhen Antigravity launches for the first time, it offers to import your VS Code configuration — keybindings, themes, and extension settings. This import makes the initial transition much smoother than you might expect. Your Copilot-era preferences carry over automatically.
Configure .antigravityignore to Speed Things Up
Antigravity indexes your entire workspace, which is powerful but can be slow if large directories like node_modules/ or .next/ are included. Create a .antigravityignore file at your project root to exclude them. See the .antigravityignore complete guide for all available options.
# .antigravityignore
node_modules/
.next/
dist/
build/
.turbo/
coverage/
*.log
*.lock
This simple file often cuts response times in half for large projects.
Step 2: Translating Your Copilot Shortcuts
The operation mapping between Copilot and Antigravity is closer than you might think:
- Accept completion: Tab (same in both)
- Dismiss completion: Esc (same in both)
- Inline code edit:
Cmd+Iin both tools (though the behavior is richer in Antigravity) - Side chat panel:
Cmd+Shift+Iin Copilot vsCmd+Lin Antigravity - Ask for explanation:
/explainin Copilot vs select code →Cmd+L→ ask in Antigravity
The Cmd+I Inline Edit in Antigravity is worth spending time with. Unlike Copilot's inline chat — which works mainly within the current file — Antigravity's inline edit draws on full project context when making changes.
Practical Example: Adding Error Handling
A common Copilot workflow is selecting a function and asking it to add error handling. Here's how that translates to Antigravity:
// Original function — no error handling
async function fetchUser(userId: string) {
const response = await fetch(`/api/users/${userId}`);
return response.json();
}
// Select the function, press Cmd+I, type:
// "Add proper error handling and make the return type explicit"
// Antigravity's suggestion (example):
async function fetchUser(userId: string): Promise<User | null> {
try {
const response = await fetch(`/api/users/${userId}`);
if (!response.ok) {
console.error(`fetchUser: HTTP ${response.status} for userId ${userId}`);
return null;
}
return response.json() as Promise<User>;
} catch (error) {
console.error(`fetchUser: network error for userId ${userId}`, error);
return null;
}
}Notice that Antigravity automatically used the User type from elsewhere in your project. Copilot would typically require that type to already be imported in the current file. Antigravity finds it in your workspace index and uses it without prompting.
Step 3: Discovering Agent Mode
This is the feature with no Copilot equivalent, and it's where Antigravity earns its keep.
Agent mode lets you describe a task in plain language, and Antigravity will identify the relevant files, plan the changes, and apply them across your codebase — pausing for your confirmation at each meaningful step.
# How to activate Agent mode
1. Open the chat panel (Cmd+L)
2. Switch the mode selector in the top-right to "Agent"
3. Describe your task in natural language
Example tasks that work well in Agent mode:
- "Update all API response types to use
Result<T, Error>instead of throwing exceptions" - "Extract the authentication logic from
app.tsinto a dedicatedAuthMiddlewareclass" - "Add Zod validation to every POST endpoint in the routes/ directory"
Each of these would require manually editing 5–10 files in Copilot. In Agent mode, Antigravity handles the file discovery and edits, and you review the diff before it applies anything.
The Agent Mode Practical Workflow Guide goes deeper on structuring tasks for best results.
Common Stumbling Blocks During Migration
Tab completions feel slower than Copilot
Antigravity's completions process more context, which adds a small delay. Enable "Fast Completions" in Settings to reduce latency, and make sure your .antigravityignore is keeping the indexed workspace lean.
Chat responses seem generic or off-topic
When asking about a specific part of your code, use @filename or @functionName to anchor the conversation. The difference between "how do I add caching here?" and "@UserService.ts how do I add caching to the getUser method?" is significant.
You miss the "flow" feeling of Copilot completions
This is normal for the first few days. Copilot's predictions are tuned for a continuous typing flow. Antigravity's inline completions prioritize correctness and project consistency over speed of suggestion. Give it a week — most developers find the adjustment natural once they stop expecting Copilot-style behavior.
Where to Go From Here
The best first step after reading this is to open your current project in Antigravity and spend 30 minutes coding as you normally would — Tab completions and all. Then pick one task you've been putting off because it spans multiple files, and try it in Agent mode.
That single Agent mode session is usually enough to shift the mental model from "Copilot replacement" to "something different altogether." The migration isn't about finding equivalent features — it's about discovering which parts of your workflow you can hand off to an AI that actually understands your codebase.