How to Build a Simple Application Using AI Tools in Under 2 Hours

If you’re a solo founder or indie hacker, the idea of building an application might feel daunting, especially if you’re not a seasoned developer. But what if I told you that with the right AI tools, you can whip up a simple application in under two hours? In 2026, the landscape of AI coding tools has evolved, making it easier than ever to create functional applications without deep programming knowledge. Let's dive into how you can achieve this.

Time Estimate: 2 Hours

You can finish this project in about 2 hours if you follow along closely.

Prerequisites

• Basic understanding of web applications
• An account with at least one of the AI coding tools mentioned below
• A code editor (like Visual Studio Code)

Step-by-Step Guide to Building Your Application

Step 1: Define Your Application's Purpose

Before jumping into the tools, take a moment to decide what your application will do. For this tutorial, let’s create a simple task manager that allows users to add, view, and delete tasks.

Step 2: Choose Your AI Coding Tools

Here’s a list of AI coding tools that can help you build your application quickly:

| Tool Name | Pricing | Best For | Limitations | Our Take | |--------------------|-----------------------------|------------------------------|------------------------------------------|------------------------------------------| | OpenAI Codex | $20/mo for Pro Tier | Code generation | Limited to text-based commands | We use this for generating boilerplate code. | | Replit | Free + $20/mo for Pro | Collaborative coding | Limited customization in free tier | Great for quick prototyping. | | Bubble | Free tier + $29/mo Pro | No-code app development | Can become expensive with scale | We’ve built MVPs here, but it’s not for complex apps. | | ChatGPT | Free + $20/mo for Plus | General coding assistance | Not always accurate in code generation | We often use it for debugging help. | | GitHub Copilot | $10/mo | In-editor code suggestions | Limited to supported IDEs | Saves us time when writing repetitive code. | | Airtable | Free tier + $10/mo Pro | Database management | Limited features on free tier | Excellent for managing data in apps. | | Zapier | Free tier + $19.99/mo Pro | Automation between apps | Limited integrations on free tier | Helps us connect different tools easily. | | Figma | Free + $15/mo for Pro | UI/UX design | Limited features on free tier | We use it for designing our app interfaces. | | Adalo | Free tier + $50/mo Pro | Mobile app development | Pricey for scaling | Good for fast mobile prototypes. | | Thunkable | Free tier + $25/mo Pro | Drag-and-drop app building | Limited to simpler applications | Useful for quick mobile app ideas. |

Step 3: Set Up Your Development Environment

1. Choose a Code Editor: Download Visual Studio Code if you haven't already.
2. Install Necessary Extensions: Add extensions for the AI tools you plan to use, like GitHub Copilot or OpenAI Codex.

Step 4: Start Coding

Using OpenAI Codex, generate the initial code for your task manager. You can prompt it with something like, "Generate a simple HTML and JavaScript application for a task manager."

Expected Output: Codex will provide you a basic structure of an HTML file with JavaScript functionality.

Step 5: Build the User Interface

Using Figma, design a simple UI. You can create a task input field, a button to add tasks, and a list to display them. Export your designs and implement them in your HTML file.

Step 6: Connect the Backend

Utilize Airtable as your backend to store tasks. Set up an Airtable account, create a base for your tasks, and generate an API key. Use OpenAI Codex to help write the code that connects your front end to Airtable.

Step 7: Test and Debug

Run your application and test all functionalities. Use ChatGPT to ask for debugging assistance if you encounter any errors.

Troubleshooting: What Could Go Wrong

• Connection Issues with Airtable: Ensure your API key is correct. Double-check the URL endpoints.
• UI Layout Not Displaying Properly: Inspect the styles in your CSS to ensure they are applied correctly.
• Functionality Bugs: Use ChatGPT to identify potential logic errors in your JavaScript code.

What’s Next?

Once you’ve built your task manager, consider adding more features such as user authentication or a mobile-friendly version using Thunkable. You can also explore integrating Zapier to automate task notifications via email.

Conclusion: Start Here

Building a simple application using AI tools is not just a pipe dream; it’s achievable in under two hours with the right approach. Start with defining your application, choose the tools that fit your needs, and follow this guide step-by-step.

In our experience, using a combination of OpenAI Codex for coding and Airtable for data management has been effective.

If you're looking to dive deeper into building and shipping products, be sure to check out our weekly podcast, Built This Week, where we share our journey, tools, and lessons learned from building in public.