Ai Coding Tools

How to Build Your First App Using AI Coding Assistants in Under 2 Hours

By BTW Team4 min read

How to Build Your First App Using AI Coding Assistants in Under 2 Hours

Building your first app can feel daunting, especially if you’re new to coding. But with AI coding assistants in 2026, it’s not only possible to create a functional app in under 2 hours, but it’s also accessible for anyone willing to learn. Whether you’re a solo founder or just someone with a side project idea, these tools can significantly reduce the friction of coding. Here’s how to get started.

Time Estimate: 2 Hours

You can finish this project in about 2 hours if you have the right tools and a clear plan.

Prerequisites

  • A basic understanding of programming concepts (variables, loops, functions)
  • An account with at least one AI coding assistant
  • A code editor (like VSCode)
  • A web browser for testing

Step-by-Step Guide

Step 1: Choose Your AI Coding Assistant

To kick things off, you’ll need to select an AI coding assistant that suits your needs. Here’s a list of some of the best tools available in 2026:

| Tool Name | Pricing | Best For | Limitations | Our Take | |--------------------|-----------------------|-----------------------------------|-------------------------------------|----------------------------------| | GitHub Copilot | $10/mo | Autocompletion for existing code | Limited to GitHub repositories | We use this for quick suggestions. | | Tabnine | Free + $12/mo Pro | Code suggestions across languages | Less effective for niche languages | We don’t use this; it’s hit or miss. | | Replit | Free + $20/mo Pro | Collaborative coding | Free tier has limited features | Great for learning and sharing. | | Codeium | Free | Multi-language support | Slower response time | We use this for diverse projects. | | AWS CodeWhisperer | Free tier + $19/mo | AWS integrations | Best for AWS users | We don’t use this unless on AWS. | | OpenAI Codex | $20/mo | Natural language to code | Requires API integration | We use this for prototyping. | | Sourcery | Free + $15/mo Pro | Code quality improvements | Limited to Python | We don’t use this; mostly for Python. | | Ponic | Free + $30/mo Pro | Rapid prototyping | Limited templates | We use this for quick mockups. | | CodeGeeX | Free | Open-source projects | Slower updates | Great for research projects. | | Kite | Free | Python & JavaScript support | Limited IDE integrations | We don’t use this; too niche. | | DeepCode | $10/mo | Code review and security checks | Not a coding assistant, more of a QA | We use this for security checks. |

Step 2: Set Up Your Development Environment

  1. Install a Code Editor: Download and install Visual Studio Code (VSCode) if you haven’t already.
  2. Set Up Your AI Assistant: Follow the installation instructions for your chosen AI coding assistant. Most will require a simple plugin installation in your code editor.

Step 3: Define Your App’s Functionality

Before you start coding, outline what your app will do. Keep it simple. For example, if you're building a to-do list app, define the basic features: adding tasks, marking them complete, and deleting them.

Step 4: Start Coding with AI Assistance

  1. Create a New Project: In your code editor, create a new folder for your app and initialize it.
  2. Use AI to Write Code: Start coding by typing comments that describe what you want. For instance, type // Create a function to add a task, and let the AI suggest the code.
  3. Iterate Quickly: Use the AI’s suggestions to build your app. Don’t hesitate to ask it to refine or fix code snippets.

Step 5: Test Your App

Once you've written your code, it's time to test it:

  1. Run Your App Locally: Open a terminal in VSCode and run your application using the appropriate command (like npm start for Node.js apps).
  2. Check for Errors: If there are any errors, use your AI assistant to debug. Type // Fix the error and let it suggest corrections.

Troubleshooting

  • Common Issues: If your app doesn't run, check for syntax errors or missing dependencies.
  • AI Limitations: Remember that AI assistants can misinterpret your requests. Always double-check the output code for logic errors.

What’s Next?

Once your app is up and running, consider deploying it. Platforms like Vercel or Netlify offer free hosting for small projects. This will allow you to share your app with others and gather feedback.

Conclusion: Start Here

If you're just starting your app development journey, I recommend beginning with GitHub Copilot or Replit. They both offer great support for beginners and are user-friendly. Building your first app doesn't have to be overwhelming; with the right tools, you can create something functional in under 2 hours.

Remember, the goal is to learn and iterate. Don’t be afraid to make mistakes—that’s part of the process.

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