Ai Coding Tools

How to Use AI Coding Tools to Build Your First Application in Less Than 2 Hours

By BTW Team4 min read

How to Use AI Coding Tools to Build Your First Application in Less Than 2 Hours

If you're a beginner looking to build your first application, the thought of coding from scratch can be intimidating. But what if I told you that with the right AI coding tools, you can create a functional application in less than 2 hours? In 2026, AI tools have become more powerful and accessible than ever, making it easier for indie hackers and side project builders like us to turn ideas into reality without needing a deep programming background.

Prerequisites: What You Need to Get Started

Before diving into building your application, make sure you have the following:

  • A computer: Windows, macOS, or Linux will work.
  • An internet connection: Necessary for accessing AI tools and resources.
  • Basic understanding of coding concepts: Familiarity with terms like variables, functions, and APIs can be helpful but not required.
  • A project idea: Something simple, like a to-do list app or a weather app.

Step 1: Choose Your AI Coding Tool

With a variety of AI coding tools available, choosing the right one is crucial. Here’s a comparison of some popular options that can help you get started quickly.

| Tool Name | Pricing | Best For | Limitations | Our Take | |----------------------|----------------------------|---------------------------|----------------------------------|-------------------------------------------| | GitHub Copilot | $10/mo, free trial available | Code suggestions | Limited to supported languages | We use this to speed up our coding. | | OpenAI Codex | $0-20/mo based on usage | Generating code snippets | May produce incorrect code | Great for quick prototypes. | | Replit | Free tier + $20/mo pro | Collaborative coding | Performance can lag with large projects | We love the instant feedback. | | Tabnine | Free tier + $12/mo pro | Autocompletion | Limited language support | Useful for repetitive coding tasks. | | Codeium | Free | Code generation | Fewer integrations | Good for quick fixes. | | Ponic | $29/mo, no free tier | Full-stack development | Can be overwhelming for beginners | Not our go-to, but powerful. | | CodeSandbox | Free tier + $15/mo pro | Web app development | Limited offline capabilities | Excellent for rapid prototyping. |

Step 2: Set Up Your Development Environment

Once you’ve selected an AI coding tool, set up your development environment. For web applications, you can use platforms like Replit or CodeSandbox, which provide an integrated environment with instant previews. Here’s how to set it up:

  1. Create an account on your chosen platform.
  2. Select a template for your project (e.g., HTML/CSS/JavaScript for a web app).
  3. Open the editor and familiarize yourself with the interface.

Step 3: Use AI to Generate Code

Now comes the exciting part: leveraging AI to generate code. Here’s an example of how to create a simple to-do list app using GitHub Copilot:

  1. Start by writing a comment in the code editor, like // Create a simple to-do list app.
  2. Let Copilot suggest code. Accept the suggestions and modify them as necessary.
  3. Test the code as you go to ensure it works as intended.

Step 4: Run Your Application

After generating your code, it’s time to see your application in action. Most platforms will have a “Run” button that allows you to test your app directly in the browser. Here’s what to expect:

  • Your application should load without errors.
  • Interact with the features you’ve built (like adding and removing tasks in a to-do list).
  • Make any necessary adjustments based on functionality.

Troubleshooting: What Could Go Wrong

While using AI tools significantly speeds up the development process, you may encounter issues. Here are common problems and their solutions:

  • Code Errors: If you see an error message, double-check the syntax and ensure you’re using the correct programming language.
  • Unexpected Behavior: Test individual functions to isolate where things might be going wrong.
  • Performance Issues: If the app is slow, consider optimizing your code or reducing the number of features.

What's Next: Building on Your Foundation

Once you've successfully built your first application, consider expanding its features or learning more about coding. You could:

  • Explore backend development to learn how to store data.
  • Start using databases like Firebase or MongoDB.
  • Check out our podcast, Built This Week, for more insights on tools and strategies for building efficiently.

Conclusion: Start Here

Building your first application in less than 2 hours is entirely achievable with the right AI coding tools. Start by choosing a tool that fits your needs, set up your environment, leverage AI to generate code, and test your application.

If you’re ready to take the plunge, I recommend starting with GitHub Copilot for its ease of use and powerful suggestions.

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