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

 

Setting Up Your Project Files

 

• Create a new TypeScript file named codecademyIntegration.ts in your Bolt.new AI project. This file will contain the logic to interact with the Codecademy API.
• Create or open your main project file (for example, main.ts) where you will import and use the integration.

 

Adding Codecademy API Integration Code

 

• In codecademyIntegration.ts, insert the following TypeScript code. This code uses the Axios HTTP client to make RESTful requests to the Codecademy API. Replace YOURCODECademyAPI_KEY with your actual Codecademy API key.

import axios from 'axios';

export class CodecademyAPI {
  private apiKey: string;
  private baseUrl: string;

  constructor(apiKey: string) {
    this.apiKey = apiKey;
    this.baseUrl = 'https://api.codecademy.com/v1';
  }

  // Fetch user profile data from Codecademy
  public async getUserProfile(username: string): Promise {
    try {
      const response = await axios.get(${this.baseUrl}/users/${username}, {
        headers: {
          'Authorization': Bearer ${this.apiKey},
          'Content-Type': 'application/json'
        }
      });
      return response.data;
    } catch (error) {
      console.error('Error fetching user profile:', error);
      throw error;
    }
  }
}

 

Importing and Using the Integration in Your Main Code

 

• Open your main.ts file and add the following code snippet. This code demonstrates how to import the CodecademyAPI class and call its method to fetch a user profile.

import { CodecademyAPI } from './codecademyIntegration';

// Initialize the Codecademy API integration with your API key
const codecademy = new CodecademyAPI('YOURCODECademyAPI_KEY');

async function fetchCodecademyUser() {
  try {
    // Replace 'your-username' with the Codecademy username you want to query
    const userProfile = await codecademy.getUserProfile('your-username');
    console.log('User Profile:', userProfile);
  } catch (error) {
    console.error('Failed to fetch user profile.');
  }
}

fetchCodecademyUser();

 

Adding Dependencies Without a Terminal

 

• Since Bolt.new AI doesn’t have a terminal, you must manually add dependencies via your project configuration. Open your package.json file (or create it if it doesn’t exist) and insert the following lines to add Axios as a dependency:

{
  "dependencies": {
    "axios": "^0.27.2"
  }
}

• If you need type definitions for Axios, also add them to your package.json under devDependencies:

{
  "devDependencies": {
    "@types/axios": "^0.14.0"
  }
}

 

Finalizing and Testing Your Integration

 

• Ensure that your project references the package.json file so dependencies are automatically installed or loaded by Bolt.new AI.
• Save all your files. Your Bolt.new AI project should now have integrated the Codecademy API functionality through your custom TypeScript code.
• Run your project using Bolt.new AI’s built-in runtime environment. The main.ts execution will invoke the Codecademy API integration, fetch a user profile, and log the results in the console.