How to Use AI Tools to Code Your First Simple App in 2 Hours
How to Use AI Tools to Code Your First Simple App in 2026
If you're like most indie hackers or side project builders, the idea of coding your first app can feel daunting. The good news? With AI coding tools, you can build a simple app in just about 2 hours. Yes, you read that right! But which tools should you use, and how do you get started? Let’s dive into what actually works based on our experience.
Prerequisites for Building Your App
Before you start, make sure you have the following:
- Basic understanding of programming concepts: Familiarity with variables, loops, and functions helps.
- A computer with internet access: You'll be using online tools.
- A code editor: You can use Visual Studio Code (free) or any text editor of your choice.
- An AI coding tool: We’ll cover several options below.
Step-by-Step Guide to Building a Simple App
Step 1: Choose Your AI Coding Tool
Here are some AI coding tools that can help you build your app quickly:
| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |------------------|-------------------------------------------------------|------------------------------|--------------------------------|--------------------------------------------|------------------------------| | GitHub Copilot | AI-powered code completion and suggestions | $10/mo | Beginners needing guidance | Limited to GitHub ecosystem | We use this for quick fixes. | | Replit | Online IDE with built-in AI assistance | Free tier + $20/mo pro | Collaborative coding | Free tier has limited features | Great for quick prototypes. | | Tabnine | AI code completion for multiple languages | Free tier + $12/mo pro | Developers needing multiple language support | Might miss context without comments | We use it for various projects. | | Codeium | AI code assistant that integrates with IDEs | Free | Beginners and experienced devs | Limited to specific languages | A solid free option. | | Ponicode | Focuses on generating tests and documentation | Free tier + $15/mo pro | Testing-focused developers | Not a full code generator | We don’t use it often. | | Sorcery | AI that explains code and suggests improvements | Free | Learning and understanding code| Requires manual context input | Useful for learning. |
Step 2: Set Up Your Environment
- Create an account on your chosen AI tool.
- Open your code editor and create a new project folder.
- Initialize your project (for example, if you’re using JavaScript, create an
index.jsfile).
Step 3: Start Coding with AI Help
- Define your app's purpose: For this example, let’s create a simple to-do list app.
- Use the AI tool to generate the basic structure:
- For GitHub Copilot, start typing
function addTask(task) {and see suggestions. - For Replit, use their AI suggestions as you write your code.
- For GitHub Copilot, start typing
Step 4: Testing Your App
- Run your app in the code editor or terminal.
- Use the AI tool to help debug issues. Copy any errors and ask for suggestions on how to fix them.
Step 5: Final Touches
- Add some styling: Use CSS or a library like Bootstrap.
- Test your app again to ensure everything works as expected.
Troubleshooting Common Issues
-
Issue: The app doesn’t run.
- Solution: Check for syntax errors. Use your AI tool to suggest corrections.
-
Issue: The AI tool isn't suggesting anything helpful.
- Solution: Provide more context in your comments. For example,
// I want to create a button to add tasks.
- Solution: Provide more context in your comments. For example,
What's Next?
Once you’ve built your simple app, consider the following steps:
- Deploy your app using platforms like Vercel or Netlify (both have free tiers).
- Gather user feedback to improve your app.
- Explore more complex features by integrating APIs or databases.
Conclusion
Building your first app doesn’t have to be overwhelming. With the right AI tools, you can accomplish this in about 2 hours. Start with a simple project, leverage AI for coding assistance, and don’t hesitate to iterate based on user feedback.
What We Actually Use
In our experience, we primarily rely on GitHub Copilot for its seamless integration with our workflow and Tabnine for multi-language support.
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