How to Use OpenCode with Antigravity & GitHub Copilot in VS Code

1. Introduction to AI-Assisted Coding in VS Code

Are you looking to build the best AI-assisted coding workflow in VS Code? This comprehensive guide will walk you through setting up a powerful tool stack.

What you’ll learn

How to set up the OpenCode VS Code extension
How to use Antigravity to automate coding tasks and enhance workflows
How to integrate GitHub Copilot for seamless inline completions
How to combine these AI developer tools for maximum productivity

Who this guide is for

Software engineers and developers using VS Code
AI-assisted coding beginners & pros looking for an optimized setup
Developers seeking faster workflows and reduced boilerplate coding

2. What Are These AI Developer Tools?

OpenCode

Powerful AI-powered coding assistant environment
Supports both local LLMs and remote AI models for privacy and flexibility
Significantly enhances developer productivity and code generation

Antigravity

Advanced AI workflow enhancer and automation layer
Improves context handling, multi-file awareness, and prompt workflows
Helps orchestrate complex AI coding tasks efficiently

GitHub Copilot

Industry-standard real-time AI code completion tool
Provides context-aware suggestions directly in the editor
Offers seamless and deep VS Code integration

3. Prerequisites for Your AI Setup

Before proceeding with your VS Code AI extension setup, ensure you have the following ready:

VS Code installed: The latest version of Visual Studio Code.
Node.js (v18+) installed: Required for running local environments and dependencies.
Git installed: For version control and GitHub Copilot synchronization.
GitHub account: Necessary for activating your GitHub Copilot subscription.
OpenAI or local model access: Required for OpenCode to function properly if you are running a local LLM setup.

4. Install VS Code Extensions

Let's install the critical components for our AI coding assistant environment.

Step 1: Install OpenCode

Open VS Code on your machine.
Go to the Extensions marketplace (Ctrl+Shift+X).
Search for the OpenCode extension.
Click Install to add it to your environment.

Step 2: Install Antigravity Extension

Search for the Antigravity extension in the marketplace.
Click Install to enable AI workflow automation.
Reload VS Code to ensure proper initialization.

Step 3: Install GitHub Copilot

Search for GitHub Copilot.
Install the official extension provided by GitHub.
Sign in with your GitHub account to authenticate and activate the tool.

5. Configure OpenCode Settings

Setup API or Local Model

To get the best performance from OpenCode, configure your model settings. Open Settings → OpenCode Config:

{
  "model": "local-llm",
  "temperature": 0.2,
  "maxTokens": 2000
}

Connect Local Model (Optional)

If you prefer a local LLM for VS Code to ensure code privacy, you can connect OpenCode to:

Ollama (ideal for running local models efficiently)
LM Studio
Any other compatible Local LLM server

6. Setting Up Antigravity Workflows

Enable Antigravity

Open the Command Palette in VS Code (Ctrl+Shift+P).
Search for: Antigravity: Enable Workspace Intelligence and execute it.

Create Workflow Template

Automate coding tasks with Antigravity using a custom template. Example:

Task: Generate optimized React component
Context: current file
Rules: performance + clean code

What Antigravity Improves

Enhanced prompt context handling
Deep multi-file awareness across your project
Intelligent workflow automation

7. Setting Up GitHub Copilot

Sign In and Authorize

Click the Copilot icon in your status bar.
Authorize GitHub to link your subscription.

Enable Smart Suggestions

To maximize your AI-assisted coding workflow, adjust these settings. Go to Settings → Search: Copilot

Enable the following options:

Inline Suggestions
Auto Completions
Context Awareness

8. Using OpenCode + Antigravity + Copilot Together

Recommended Integrated Workflow

Step 1: Use Copilot for:

Real-time inline suggestions as you type
Generating boilerplate code quickly
Fast completion of standard algorithms

Step 2: Use OpenCode for:

Explaining complex code snippets
Refactoring logic for better performance
Generating complete functions from natural language prompts

Step 3: Use Antigravity for:

Project-wide codebase understanding
Executing complex prompt workflows and multi-step tasks
Multi-file AI tasks and large-scale refactoring

9. Practical Example: Building a UI Component

Example: Create an Optimized React Component

GitHub Copilot Action

Start typing your component definition in the editor:

function UserCard({ user }) {

Copilot suggests the internal structure and JSX markup automatically.

OpenCode Prompt

Highlight the code and use OpenCode to refine it:

"Optimize this component and add accessibility improvements (ARIA roles)."

Antigravity Workflow

Execute an Antigravity task to ensure project consistency:

Analyze project UI patterns in the /components directory and ensure this new UserCard design matches our global styling consistency.

10. Pro Tips to Improve Developer Productivity

Maximize your efficiency with these best practices:

Speed: Rely on Copilot for immediate keystroke predictions.
Depth: Leverage OpenCode for deep AI assistance and architectural planning.
Automation: Use Antigravity for intelligent workflow automation across multiple files.
Precision: Keep your AI prompts highly specific and context-aware.
Privacy: Integrate local LLMs with OpenCode for handling sensitive, proprietary codebases.

11. Troubleshooting Your AI Setup

Copilot is not suggesting code

Check your GitHub login status in the VS Code accounts menu.
Ensure that inline suggestions are enabled in the Copilot extension settings.

OpenCode not responding to prompts

Verify your AI API key or ensure your local model connection (like Ollama) is actively running on the correct port.

Antigravity automation failing

Reload the VS Code workspace window.
Verify that the Antigravity workspace intelligence mode is fully enabled.

12. When Should You Use This AI Tool Stack?

This combined ecosystem is perfect for:

Navigating and managing large-scale projects
Enhancing team collaboration through consistent AI usage
Rapid prototyping of MVPs and new features
Comprehensive AI-assisted software development
Automating clean code refactoring and technical debt reduction

13. Conclusion

Using OpenCode alongside Antigravity and GitHub Copilot establishes the ultimate AI coding assistant environment. This setup allows you to leverage the strengths of each individual tool.

By integrating these extensions, you benefit from:

Unmatched typing speed and pattern recognition from GitHub Copilot
Contextual intelligence and refactoring capabilities from OpenCode
Orchestration and task automation from Antigravity

Ultimately, investing time into this VS Code AI extension setup will dramatically improve developer productivity and code quality across all your software projects.

Frequently Asked Questions

Can I use OpenCode without GitHub Copilot?

Yes, OpenCode works completely independently. You can use it as a standalone AI coding assistant with local LLMs or remote models.

Is the Antigravity extension necessary for this setup?

While not strictly required, Antigravity significantly improves workflow automation and multi-file context handling, making it highly recommended for power users.

Does this AI coding workflow work offline?

Yes! If you configure OpenCode to use a local LLM for VS Code (like Llama 3 via Ollama), you can generate code and run prompts entirely offline. However, GitHub Copilot requires an internet connection.