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

 

Setting Up FutureLearn API Configuration

 

• Create a new file in your Bolt.new AI project called futurelearnConfig.ts. This file will store your FutureLearn API configuration details.
• Add the following code snippet to futurelearnConfig.ts:

export const FUTURELEARNAPIURL = 'https://api.futurelearn.com'; // Replace with the actual API URL if different
export const FUTURELEARNAPIKEY = 'your-futurelearn-api-key-here'; // Insert your API key here

 

Creating a FutureLearn Service Module

 

• Create another new file named futurelearnService.ts in your project. This file will contain functions to interact with the FutureLearn API.
• Add the following code snippet to futurelearnService.ts:

import { FUTURELEARNAPIURL, FUTURELEARNAPIKEY } from './futurelearnConfig';

export async function getFutureLearnCourses() {
  const response = await fetch(${FUTURELEARN_API_URL}/courses, {
    headers: {
      'Authorization': Bearer ${FUTURELEARN_API_KEY},
      'Content-Type': 'application/json'
    }
  });
  if (!response.ok) {
    throw new Error('Failed to fetch courses from FutureLearn');
  }
  return response.json();
}

• This function makes an HTTP GET request to the FutureLearn API to retrieve course information. Adjust the endpoint (/courses) if your integration requires a different API endpoint.

 

Integrating the FutureLearn Service into Your Main Code

 

• Open your main project file (often named index.ts or similar).
• Insert the following code snippet at an appropriate location (for example, near your project’s initialization code) to call the FutureLearn service and integrate it with your Bolt.new AI project:

import { getFutureLearnCourses } from './futurelearnService';

(async () => {
  try {
    const courses = await getFutureLearnCourses();
    console.log('FutureLearn Courses:', courses);
    // Integrate the fetched courses with your Bolt.new AI logic here.
  } catch (error) {
    console.error('Error fetching FutureLearn courses:', error);
  }
})();

• This snippet imports the getFutureLearnCourses function, executes it asynchronously, and logs the result. Modify the logic inside the try block according to your application requirements.

 

Managing Dependencies Without a Terminal

 

• Since Bolt.new AI does not have access to a terminal, you should add any dependency references manually in your code. For instance:
• If you need to ensure that the fetch API is available, verify that the environment supports it or include a polyfill by adding its script to your HTML file if necessary.
• For example, if a polyfill is needed, add the following line to your HTML file before your TypeScript bundle is loaded:

<script src="https://cdnjs.cloudflare.com/ajax/libs/whatwg-fetch/3.6.2/fetch.umd.min.js"></script>

• This ensures that the fetch function is available for use in the integration code.

 

Final Integration Check

 

• Review the changes you have made by creating two new files futurelearnConfig.ts and futurelearnService.ts, and updating your main file (e.g. index.ts).
• After saving the files, run your project using the Bolt.new AI Run button. Monitor the console output for your API response from FutureLearn.
• If you encounter errors, double-check your API endpoints and ensure that your API key is correct.