Bolt.new AI and Udacity integration: Step-by-Step Guide 2025

 

Step 1: Create a Package Configuration File

 

Since Bolt.new AI doesn’t have a terminal, you need to set up dependency installation by creating a configuration file that lists your project’s dependencies. In your project’s root, create a file named package.json and add the following content. This ensures the axios library will be available for making HTTP requests to Udacity’s API.

{
  "name": "bolt-udacity-integration",
  "version": "1.0.0",
  "dependencies": {
    "axios": "^0.27.2"
  }
}

Make sure to save this file in the root directory of your Bolt.new AI project.

 

Step 2: Create a Udacity API Integration File

 

Next, create a new TypeScript file to handle communication with Udacity’s API. In your project’s file structure, add a new file named udacityApi.ts and insert the following code snippet. This file defines a function to fetch course data from Udacity. (Note: Replace the API endpoint url with the correct Udacity API endpoint if necessary.)

import axios from 'axios';

/**
- Function to fetch courses from Udacity
- Replace the URL below with the actual Udacity API endpoint.
 */
export async function getUdacityCourses(): Promise {
  try {
    const response = await axios.get('https://api.udacity.com/v1/courses');
    return response.data;
  } catch (error) {
    console.error('Error fetching Udacity courses:', error);
    throw error;
  }
}

Save this file in your project directory so that it can be imported into other parts of your application.

 

Step 3: Integrate Udacity API Function into Your Main Code

 

Now you need to call the function from your main TypeScript file to integrate Udacity’s data within your Bolt.new AI project. Open your main file (for example, index.ts) and add the following code snippet. This code imports the Udacity API module and fetches courses when the application initializes.

import { getUdacityCourses } from './udacityApi';

// Example initialization function
async function initializeUdacityIntegration() {
  try {
    const courses = await getUdacityCourses();
    console.log('Udacity Courses:', courses);
    // Further code to integrate the fetched data into your application
  } catch (error) {
    console.error('Failed to initialize Udacity integration:', error);
  }
}

// Call the initialization function at an appropriate point in your app lifecycle
initializeUdacityIntegration();

Place this code in your main application file where you would typically initialize or bootstrap your application.

 

Step 4: Wiring Everything Together

 

Ensure that your project’s file structure includes the newly created files (package.json, udacityApi.ts, and index.ts). With this setup, your project will automatically load the axios dependency as defined in package.json and use it within udacityApi.ts to interact with Udacity’s API. You can view the console log output to verify that data from Udacity is fetched correctly.

 

Step 5: Testing the Integration

 

After saving all your changes, trigger your project’s run process (using the Bolt.new AI interface’s run feature) to verify that the integration works correctly. Observe the console logs for the output of Udacity courses. If you see the course data logged, the integration is successful.

 

By following these steps, you have integrated Udacity API calls into your Bolt.new AI project using TypeScript.