Claude Code Bridge enables real-time collaboration between Claude, Codex, and Gemini in a terminal environment. It allows operations teams to leverage multi-AI systems for coding, debugging, and automation tasks with minimal token overhead. The tool connects to CLI workflows, enabling seamless integration with existing development and operations processes.
git clone https://github.com/bfly123/claude_code_bridge.githttps://github.com/bfly123/claude_code_bridge
Collaborate with multiple AI models to generate code snippets for different programming languages.
Utilize persistent context to switch between AI models without losing track of ongoing tasks.
Integrate AI-driven suggestions directly into your terminal workflow for enhanced coding efficiency.
Automate testing and debugging processes by leveraging the strengths of different AI models.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/bfly123/claude_code_bridgeCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Using Claude Code Bridge, help me integrate [FEATURE] into our [APPLICATION] for [COMPANY] in the [INDUSTRY]. Please provide a step-by-step code example and explain how these AIs can collaborate effectively.
### Integration of Real-Time Notifications
To integrate real-time notifications into our web application for TechCorp in the software industry, follow these steps:
1. **Set Up WebSocket Connection**: Use Codex to create a WebSocket connection that listens for events.
2. **Handle Incoming Messages**: Leverage Claude to process incoming messages and trigger notifications.
3. **Send Notifications**: Use Gemini to send notifications to users based on the processed data.
```javascript
// Step 1: Setting up WebSocket
const socket = new WebSocket('wss://your-websocket-url');
// Step 2: Handling incoming messages
socket.onmessage = function(event) {
const data = JSON.parse(event.data);
Claude.processMessage(data);
};
// Step 3: Sending notifications
function notifyUser(message) {
Gemini.sendNotification(message);
}
```
This approach allows for seamless communication and reduces token overhead, ensuring that each AI contributes optimally to the task at hand.Google's multimodal AI model and assistant
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