How I Bridged Antigravity and OpenCode to Solve My AI Quota Problems

I have spent 14 years reviewing tech.

During that time, I have seen plenty of software promises that turned out to be little more than marketing BS.

The current state of development tools in 2026 feels similar. We are stuck in a fragmented market where Google and Anthropic are fighting for your $20 a month. While they build their walled gardens, a practical way to bridge their power has emerged.

By connecting the Antigravity IDE with the OpenCode CLI, you can access the reasoning capabilities of Claude 4.5 Opus and the massive context of Gemini 3 Pro. You do this by using the quotas already attached to your Google accounts.

Here is how I set up my development workflow on Windows.

The “Free” Claude Code Alternative

Before we get into the installation, it is important to understand why this matters.

Most developers are currently flocking to Claude Code.

It is a brilliant tool, but it comes with a catch: you are usually paying for a seat or feeding an API meter that can get expensive during long debugging sessions.

By using the Antigravity bridge, you are essentially building a DIY version of Claude Code.

You get the same terminal-based agentic behavior and the same “Thinking” models.

The difference is that you are leveraging Google’s internal IDE bridge to authenticate. It is the ultimate productivity hack for anyone who wants high-end reasoning without the monthly “AI tax.”

1. The Core: Antigravity IDE

You need to start with the engine.

Antigravity is the IDE Google uses internally, and it handles the heavy lifting of authentication. It effectively acts as the bridge to high-end models.

You can find the Windows installer on the Antigravity preview site.

When you set it up, choose “Start Fresh” rather than importing old VS Code settings.

A clean installation ensures the bridge functions without interference from legacy plugins.

Once installed, sign in with your primary Google account. This step is what links your hardware to your actual model quotas.

2. The Interface: OpenCode CLI

Antigravity is a solid environment for writing code, but OpenCode is where the automation happens.

It is a terminal-based agent that analyzes your directory and executes changes across multiple files.

To install it, open PowerShell as an Administrator and run this command: npm install -g opencode-ai

After the installation finishes, check the version by typing opencode --version.

You should be on at least version 1.1.x to ensure the bridge works with current models.

3. The Connection: Configuring the Bridge

This is the technical step that requires some precision.

OpenCode needs specific instructions to communicate with the Antigravity bridge. This happens through a JSON file in your user profile.

On Windows, the file lives at %USERPROFILE%\.config\opencode\opencode.json.

While you can create this manually, you do not have to. One of the best parts about using an agentic stack is that you can simply ask Antigravity to build its own configuration.

If the file does not exist, or if you want to ensure it matches the strict 2026 schema requirements, just open your terminal and tell the agent what you need.

I found that if you do not include explicit output limits, the CLI will likely reject the configuration.

You can copy and paste this prompt directly into Antigravity or OpenCode to have it generate the file for you:

“Generate an opencode.json file in my config folder that uses the antigravity-auth@beta plugin. Set the default model to opus-4-5-thinking and include specific limits for sonnet-4-5 and gemini-3-pro.”

If you prefer the manual route, you can use this PowerShell command to set up the file correctly:

$json = @'
{
  "$schema": "https://opencode.ai/config.json",
  "model": "google/antigravity-claude-opus-4-5-thinking",
  "plugin": ["opencode-antigravity-auth@beta"],
  "provider": {
    "google": {
      "models": {
        "antigravity-claude-opus-4-5-thinking": {
          "name": "Claude 4.5 Opus (Thinking)",
          "limit": { "context": 200000, "output": 32000 }
        },
        "antigravity-claude-sonnet-4-5-thinking": {
          "name": "Claude 4.5 Sonnet (Thinking)",
          "limit": { "context": 200000, "output": 16000 }
        },
        "antigravity-gemini-3-pro": {
          "name": "Gemini 3 Pro",
          "limit": { "context": 1048576, "output": 65535 }
        }
      }
    }
  }
}
'@
$path = "$env:USERPROFILE\.config\opencode\opencode.json"
mkdir -Force (Split-Path $path); [System.IO.File]::WriteAllText($path, $json)

4. The Benefit: Load Balancing Multiple Accounts

This is the coolest part of the setup.

The Antigravity bridge lets you link several accounts to aggregate your usage limits. If you hit a rate limit on your personal account, the CLI can automatically switch to a secondary account.

In your terminal, run opencode auth login.

Choose Google and then OAuth with Google (Antigravity).

Follow the browser prompts to sign in.

Once the terminal confirms the first account is linked, run the command again to add a second one.

OpenCode will now distribute your requests across both accounts, which effectively doubles your daily usage for heavy tasks.

5. Using the Tools

Once the stack is configured, you can work directly in your project folders. I recently used this method to build a native iOS clipboard manager using Expo in about twenty minutes.

When you use the “Thinking” models, the software does not just generate code blocks.

It takes a moment to analyze your file structure and identifies potential conflicts before it writes anything. Again, you do not need to manually create your app files. You can just describe the problem to the agent.

You can trigger this by running a command like:

opencode run "Create a new React Native project for a clipboard manager. Design the UI with a dark theme and teal accents. Use Opus Thinking to plan the file structure."

The Verdict

We are moving past the phase of simple, chat-based assistants.

By bridging Antigravity and OpenCode, you are creating a local environment that actually understands the context of your work. It is fast, relatively private, and it places the most capable models available today exactly where they are most useful: in your terminal.

If you found this guide useful, please consider signing up for my newsletter — I’ve got plenty more stuff just like this coming in 2026.

Reviewed & Written By

Tony Simons

Independent tech reviewer and creator of Tony Reviews Things. 14 years of hands-on testing, software auditing, and workflow automation. I test the gear so you don't waste your money on junk.

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