How to Develop a Simple App Using AI Coding Tools in 10 Steps

Building an app can seem like a daunting task, especially for beginners who might not have a strong coding background. However, with the rise of AI coding tools in 2026, it’s easier than ever to develop a simple app without extensive programming knowledge. In this guide, I’ll walk you through 10 actionable steps to create your first app using these tools, sharing practical insights and tools that have worked for us.

Time Estimate

You can finish this project in about 10 hours if you dedicate a few hours each day over a weekend.

Prerequisites

• Basic understanding of app concepts
• A computer with internet access
• Accounts on necessary AI coding platforms (details below)

Step 1: Define Your App Idea

Start by clarifying what problem your app solves. Keep it simple. For instance, we built a budgeting app that helps users track expenses.

Expected Output

A one-sentence description of your app.

Step 2: Choose Your AI Coding Tool

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

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |--------------------|--------------------------------------------|-----------------------------|-----------------------------------|--------------------------------------|----------------------------------------| | OpenAI Codex | Generates code snippets based on your prompts | Free tier + $20/mo pro | Quick prototyping | Limited to specific languages | We use this for quick coding tasks. | | Microsoft Copilot | Integrates with your IDE for code suggestions | $10/mo | Developers using VS Code | Requires coding knowledge | Great for enhancing existing projects. | | Bubble | No-code platform to create web apps | Free tier + $29/mo pro | Non-tech founders | Limited customization for complex apps | We don’t use it due to complexity. | | AppGyver | Build apps visually without coding | Free | Beginners with no coding skills | Performance issues in larger apps | Good for simple apps, but not scalable. | | Thunkable | Drag-and-drop app builder | Free tier + $50/mo pro | Mobile app creators | Limited features in free tier | Useful for educational apps. | | Replit | Collaborative coding environment | Free tier + $7/mo pro | Team projects | Not as specialized for app building | We use this for team coding sessions. | | Adalo | No-code platform for mobile apps | Free tier + $50/mo pro | MVP development | Pricing gets steep quickly | We don’t use this due to costs. | | Mendix | Low-code platform for enterprise apps | Starts at $1,000/mo | Larger businesses | Overkill for small projects | Not suitable for indie hackers. | | Glide | Turns Google Sheets into apps | Free tier + $29/mo pro | Data-driven apps | Limited functionality for complex apps | We use this for quick prototypes. | | Appy Pie | Create apps without coding | Free tier + $18/mo pro | Simple apps for startups | Limited in terms of customization | Good for very basic apps. |

What We Actually Use

We primarily rely on OpenAI Codex for coding snippets and Glide for quick prototypes.

Step 3: Sketch Your App Layout

Use a tool like Figma or Sketch to design your app layout. This step is crucial for visualizing how users will interact with your app.

Expected Output

A basic wireframe of your app.

Step 4: Set Up Your Development Environment

Choose an IDE or online platform. For instance, if you’re using OpenAI Codex, you can work directly in a code editor like Visual Studio Code.

Expected Output

A functional coding environment ready for development.

Step 5: Start Coding

Use your chosen AI tool to generate code based on your app layout. For example, prompt Codex to create the main screen layout.

Expected Output

Basic code structure for your app.

Step 6: Implement Core Features

Focus on the essential features first. For our budgeting app, we implemented expense tracking as a primary function.

Expected Output

A working version of your app with core features.

Step 7: Test Your App

Conduct thorough testing to identify bugs and usability issues. In our experience, testing is often overlooked, but it’s critical for user satisfaction.

Expected Output

A bug-free version of your app.

Step 8: Gather Feedback

Share your app with a small group of users and gather feedback. Tools like UserTesting can help streamline this process.

Expected Output

A list of user feedback and suggestions.

Step 9: Iterate Based on Feedback

Make necessary adjustments based on user feedback. This might involve tweaking UI elements or adding features.

Expected Output

An improved version of your app.

Step 10: Launch Your App

Deploy your app to the relevant platform—be it iOS, Android, or web. Use services like Heroku or Vercel for web apps.

Expected Output

Your app is live and accessible to users.

Troubleshooting Section

• What Could Go Wrong: Bugs in the code, poor user feedback, or deployment issues.
• Solutions: Use debugging tools, revisit user feedback, and consult documentation for deployment platforms.

What's Next?

Once your app is live, consider marketing strategies to attract users. Explore social media, content marketing, or even paid ads to boost visibility.

Conclusion

Starting your app development journey in 2026 is more accessible than ever with AI coding tools. By following these 10 steps, you’ll not only build a simple app but also gain valuable experience in the process.

Start here: If you’re looking for a practical tool to kick off your journey, I recommend starting with OpenAI Codex for coding assistance and Glide for rapid prototyping.