How We Built Our First AI-Driven App Using Cursor in Just 5 Days

Building an AI-driven app can often feel like an insurmountable challenge. With so many moving parts and the constant evolution of technology, it’s easy to get overwhelmed. But what if I told you that we built our first AI-driven app using Cursor in just five days? Yes, you read that right. In this post, I'm going to walk you through our experience, including the tools we used, the challenges we faced, and the lessons we learned along the way.

Day 1: Ideation and Planning

Before diving into coding, we spent our first day brainstorming and planning. We knew we wanted to create a simple app that utilized AI to provide personalized recommendations based on user input. Here’s what we focused on:

• Define the core functionality: We decided on a recommendation engine for books based on user preferences.
• Sketch the user interface: A basic layout was drawn up to visualize the user journey.
• Set goals: We aimed to have a working prototype by the end of the week.

Day 2: Setting Up with Cursor

Cursor is an AI coding tool that significantly speeds up the development process. Here’s how we set it up:

• Create a Cursor account: Signing up was straightforward and free for basic features.
• Explore the documentation: We spent a couple of hours understanding its capabilities and limitations.

Pricing Breakdown for Cursor

| Feature | Pricing | Best For | Limitations | Our Take | |------------------------|-----------------------------|-------------------------------|----------------------------------|---------------------------------| | Basic | Free | Beginners | Limited project size | We used this for initial setup | | Pro | $29/mo | Small teams | Lacks advanced integrations | Good for scaling up | | Enterprise | Custom pricing | Larger organizations | Higher cost | Not applicable for us |

Day 3: Building the Backend

On the third day, we focused on building the backend of our app. Using Cursor's AI capabilities, we generated boilerplate code for our API.

• Framework: We chose Node.js for its speed and scalability.
• Database: We opted for MongoDB since it integrates well with Node.js and is easy to set up.

Expected Outputs

By the end of Day 3, we had a functioning API that could accept user input and query our database for recommendations.

Day 4: Frontend Development

With the backend in place, we turned our attention to the frontend.

• Framework: We used React for its component-based architecture.
• Design: Simple UI with input fields for user preferences and a display area for recommendations.

Using Cursor, we generated components quickly, but we also faced limitations with customization. The autogenerated code sometimes required tweaks to meet our design vision.

Day 5: Testing and Deployment

The final day was all about testing and deployment. We ran through various test cases to ensure the app worked as intended.

• Testing: We used Postman to test our API endpoints.
• Deployment: We deployed the app on Heroku, which offers a free tier for small projects.

What Went Right

• Speed: Cursor helped us speed up the coding significantly.
• Functionality: We met our goal of having a working prototype.

What Could Go Wrong

• Scalability: The app works well with a limited number of users, but we’re aware that we’ll need to optimize for larger traffic soon.
• Customization: Some features were difficult to tailor due to the autogenerated code from Cursor.

What We Actually Use

After this experience, here's a summary of the tools we actually used:

• Cursor: Essential for speeding up coding.
• Node.js: Great for backend development.
• MongoDB: Simple database solution.
• React: Efficient for frontend development.
• Heroku: Easy deployment platform for small apps.

Conclusion: Start Here

If you're an indie hacker or solo founder looking to build an AI-driven app quickly, start by leveraging tools like Cursor. The combination of AI assistance and a clear plan can dramatically shorten your development timeline. Just remember to keep your goals realistic and be prepared for the trade-offs in customization and scalability.

Ready to take the plunge? Follow our journey as we continue to build products week after week.