Connecting your Bolt.New AI project with Supabase: An easy to follow tutorial for AI software dev

Introduction

In this tutorial, you'll learn how to connect your AI-powered project created with Bolt.new to a Supabase database. This integration will allow you to generate and store data seamlessly, enhancing your website's capabilities. By following this step-by-step guide, you'll master the basics of integrating AI tools with Supabase in around 10 minutes.

Step 1: Set Up Your Supabase Account

• Go to the Supabase website and create an account if you don’t have one.
• Verify your email address to activate your account.

Step 2: Create a New Project in Supabase

• Log into your Supabase account.
• Click on the "New Project" button.
• Fill in the project details such as name, organization, and database password.
• Choose your server region and click "Create Project."

Step 3: Configure Your Supabase Project

• Once your project is created, navigate to the "Database" section.
• Create the necessary tables for your project. For example, you might create a users table with fields like id, name, and email.
• Define the data types for each field appropriately.

Step 4: Transition to Bolt for Integration

• Open your Bolt.new project.
• Locate the area where you want to integrate the Supabase functionalities.

Step 5: Generate SQL Statements with Bolt

• Use Bolt.new to create SQL statements that correspond to the structure of your Supabase tables.
• For example, to insert a new user, your SQL might look like this:

  INSERT INTO users (name, email) VALUES ('John Doe', 'john@example.com');
  

Step 6: Execute SQL in Supabase

• Go back to your Supabase project and navigate to the SQL editor.
• Copy your generated SQL statements from Bolt and paste them into the Supabase SQL editor.
• Click "Run" to execute the SQL commands and verify that the data has been added to your database.

Step 7: Build the Frontend Application

• In your Bolt project, set up the frontend application to fetch data from your Supabase database.
• Use the Supabase client library to connect to your database. Example code to initialize Supabase:

  import { createClient } from '@supabase/supabase-js';
  
  const supabaseUrl = 'https://your-project.supabase.co';
  const supabaseKey = 'public-anon-key';
  const supabase = createClient(supabaseUrl, supabaseKey);
  

• Implement functions to retrieve and display data, ensuring smooth interaction between your frontend and the database.

Step 8: Finalize and Test the Integration

• Review your setup to ensure all components are connected correctly.
• Test the functionality of your application by adding, retrieving, and displaying data from Supabase.
• Debug any issues that arise and make necessary adjustments to your SQL statements or frontend code.

Conclusion

By following these steps, you have successfully integrated your AI-powered project with Supabase, allowing for efficient data management. As next steps, consider exploring advanced features of Supabase, such as real-time subscriptions or authentication, to further enhance your application. Happy coding!