How to Code Your First App Using AI in Under 2 Hours

Have you ever wanted to build an app but felt overwhelmed by the coding part? You're not alone. Many aspiring founders and indie hackers face this hurdle. But here's a contrarian insight: with the rise of AI coding tools, you can now whip up your first app in under two hours, even if you're a complete beginner. In this guide, I’ll walk you through the process, share the tools we use, and provide a clear path to getting your app off the ground.

Prerequisites: What You Need Before Getting Started

Before diving in, there are a few things you’ll need to set up:

1. Basic Understanding of Programming Concepts: No need to be an expert, but familiarity with concepts like variables, functions, and loops will help.
2. A Computer: Any modern laptop or desktop will do.
3. Internet Connection: Essential for accessing AI tools and resources.

Time Estimate: 2 Hours

You can finish this in about 2 hours if you follow the steps closely. This includes setting up your environment and building a simple app.

Step-by-Step Guide to Build Your First App

Step 1: Choose Your AI Coding Tool

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

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |------------------|---------------------------------------|-----------------------|------------------------------|-------------------------------------|-----------------------------------------------------| | OpenAI Codex | AI that helps you write code | $10/mo (basic) | Beginners needing guidance | Can generate incorrect code | We use this for quick code snippets and learning. | | Replit | Collaborative coding environment | Free tier + $20/mo pro| Collaborative projects | Limited features in free tier | We love the collaborative aspect for pair coding. | | Bubble | No-code platform for app development | Free tier + $29/mo pro| Building web apps without code| Limited customization | Great for non-coders; we skip it for more complex apps. | | Pseudocode | Converts plain English to code | $5/mo | Beginners who can't code | Limited to specific languages | Good for ideation but not for full-scale apps. | | Glitch | Build and remix web apps | Free | Prototyping web applications | Limited scalability | We use it for quick prototypes and sharing ideas. | | AppGyver | No-code platform for mobile apps | Free | Mobile app development | Learning curve for advanced features| Good for quick mobile apps; we prefer coding for control. | | GitHub Copilot| AI pair programmer | $10/mo | Writing code efficiently | Can suggest incorrect code | Essential for our coding workflow, especially for debugging. | | Codeium | AI-powered code completion | Free | Fast coding with suggestions | Less accurate than Codex | We use it for faster coding but double-check outputs. | | DeepCode | AI for code review | Free tier + $15/mo pro| Improving code quality | Limited to specific languages | Great for catching bugs; we use it post-coding. | | Thonny | Beginner-friendly Python IDE | Free | Learning Python | Limited to Python | We recommend this for those starting with Python. |

Step 2: Set Up Your Development Environment

1. Choose Your IDE: If you’re coding, I recommend using an IDE like Visual Studio Code or Thonny for Python. If you prefer no-code, start with Bubble or AppGyver.
2. Install Necessary Extensions: If you’re using VS Code, install GitHub Copilot or OpenAI Codex for AI assistance.

Step 3: Define Your App’s Purpose

Spend some time brainstorming what you want your app to do. Keep it simple. For instance, you could create a to-do list app or a simple calculator.

Step 4: Start Coding

Here’s where the AI tools come into play. Use OpenAI Codex or GitHub Copilot to generate code snippets based on your descriptions. For example, if you're building a to-do list, you might say, "Create a function to add a task."

Step 5: Testing Your App

Once you’ve written your code, test it. If you encounter bugs, use DeepCode for code reviews or GitHub Copilot to troubleshoot issues.

What Could Go Wrong?

• Incorrect Code: AI tools sometimes generate incorrect code. Always review and test.
• Limited Features: Some no-code platforms might not have the functionality you need. If you hit a wall, consider switching to a coding approach.

What's Next?

After you’ve built your app, consider deploying it using platforms like Heroku or Vercel, which can host your application for free or at a low cost. Then, you can start gathering user feedback to iterate on your app.

Conclusion: Start Here

Building your first app using AI tools is not only possible but also relatively straightforward if you follow the steps outlined above. Start with OpenAI Codex or GitHub Copilot, define a simple app idea, and get coding. Remember to test your code thoroughly and don’t hesitate to iterate based on user feedback.

What We Actually Use

In our experience, we primarily use OpenAI Codex for code generation, GitHub Copilot for in-IDE assistance, and Glitch for quick prototyping. This combination allows us to build efficiently while maintaining quality.