Ai Coding Tools

How to Build Your First Application with AI Coding Tools in Just 2 Hours

By BTW Team4 min read

How to Build Your First Application with AI Coding Tools in Just 2 Hours

If you're a solo founder or a side project builder, the thought of building your first application can be daunting. You might feel overwhelmed by the coding skills you think you need or the time it takes to put everything together. But here's the good news: with the right AI coding tools, you can build a functional application in just 2 hours. Yes, you read that right!

In 2026, AI coding tools have come a long way, making it easier than ever for beginners to create applications without needing to be a full-fledged developer. In this guide, I’ll walk you through the essential tools you’ll need, what they do, and how to get started in a way that’s practical and straightforward.

Prerequisites: What You Need Before You Start

Before diving in, make sure you have the following:

  • A computer with internet access (Windows, macOS, or Linux)
  • A code editor (like Visual Studio Code or any editor of your choice)
  • Basic familiarity with programming concepts (variables, functions, etc.)
  • An open mind and a willingness to experiment

Step 1: Choose Your AI Coding Tool

There are a plethora of AI coding tools available, but not all of them are created equal. Below is a list of tools that are beginner-friendly and can help you build your application.

Tool Comparison Table

| Tool Name | Pricing | Best For | Limitations | Our Take | |------------------|------------------------|-----------------------------------|--------------------------------------|------------------------------------| | OpenAI Codex | Free tier + $20/mo | Code suggestions and completions | Limited context understanding | We use it for quick code snippets. | | GitHub Copilot | $10/mo | Inline code suggestions | Requires GitHub account | Great for enhancing productivity. | | Replit | Free tier + $7/mo | Collaborative coding | Limited features on free tier | We love the collaborative aspect. | | Tabnine | Free tier + $12/mo | Autocompletion | May not support all languages | We don't use it; not versatile enough. | | ChatGPT | Free tier + $20/mo | Conversational coding help | May provide incorrect code examples | We use it for brainstorming ideas. | | Ponic | $15/mo | Automated application building | Limited customization | We don't use it; too rigid for our needs. | | Codeium | Free | Code generation | Basic features only | Worth trying for beginners. | | CodeSandbox | Free tier + $12/mo | Frontend development | Limited backend capabilities | We use it for prototyping. | | Snippet | $5/mo | Code snippet management | Lacks integration with IDEs | Handy for quick reference. | | Sourcery | Free | Code optimization | Limited to Python | We don’t use it; not our language. | | AIDungeon | Free | Interactive storytelling coding | Not suitable for serious projects | Fun to experiment with. |

Step 2: Define Your Application Idea

You should have a clear idea of what you want to build. For your first application, consider something simple, like a to-do list app or a basic calculator. Define the core features you want to include.

Step 3: Set Up Your Development Environment

  1. Install the Code Editor: Download and install Visual Studio Code or your preferred editor.
  2. Install the AI Tool: Follow the instructions to integrate your chosen AI coding tool into your editor. For example, if you're using GitHub Copilot, you'll need to install the extension from the marketplace.

Step 4: Start Coding with AI Assistance

  1. Create a New Project: Set up a new project folder and create the necessary files (e.g., index.html, style.css, app.js).
  2. Use AI Coding Tools:
    • Ask for Code: Use the AI tool to generate code snippets based on your features. For instance, you can type "create a function to add a task" and let the AI generate the code for you.
    • Modify and Test: Modify the generated code as needed to fit your application's requirements. Test it frequently to catch errors early.

Step 5: Troubleshooting Common Issues

What Could Go Wrong

  • Incorrect Code: AI tools can generate code that doesn't work as intended. Always test thoroughly.
  • Dependency Issues: Be cautious about external libraries; ensure they are compatible and well-documented.

Solutions

  • Use community forums or documentation for troubleshooting help.
  • Experiment with different prompts for AI tools if the output isn't what you expect.

Conclusion: Get Started with Your First Application

Building your first application using AI coding tools doesn’t have to be a long, arduous process. By choosing the right tools, defining a simple project, and utilizing AI assistance, you can create something functional in just 2 hours.

Start Here: I recommend beginning with OpenAI Codex or GitHub Copilot for the best balance of features and ease of use. They provide solid support for beginners and can help you get your application off the ground quickly.

What We Actually Use: In our experience, we rely heavily on OpenAI Codex for quick snippets and GitHub Copilot for inline suggestions while coding. They’ve become indispensable in our daily workflow.

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