Optimize code for AI processing

Prepare code for more efficient AI analysis and processing

Overview

This use case demonstrates how to implement optimize code for ai processing using the RepoMix MCP server. Follow the instructions below to get started.

Prerequisites

• Basic knowledge of JavaScript/TypeScript
• Node.js installed on your machine
• An API key for the RepoMix service

Implementation

Here's a step-by-step guide to implementing this use case:

1. Install the package

npm install repomix

2. Set up your environment

Create a new file and import the necessary dependencies:

import { RepoMix } from 'repomix';

// Initialize the client
const client = new RepoMix({
apiKey: process.env.API_KEY
});

3. Implement the functionality

Now you can use the client to implement the optimize code for ai processing functionality:

async function codeoptimization() {
try {
  const result = await client.query({
    // Add your query parameters here
    // ...
  });
  
  console.log(result);
  return result;
} catch (error) {
  console.error('Error:', error);
  throw error;
}
}

// Call the function
codeoptimization();