How to Leverage AI Coding Tools to Build Your First App in 72 Hours

Building your first app can feel overwhelming, especially if you’re a beginner. The good news is that AI coding tools have come a long way in making this process faster and easier. In just 72 hours, you can go from idea to prototype, leveraging these tools to cut down on the heavy lifting.

In this guide, I’ll walk you through the AI coding tools that can help you build an app efficiently, share my personal experiences, and break down the costs involved.

Prerequisites: What You Need Before You Start

Before diving in, here’s what you should have ready:

• Basic Understanding of Programming: While AI tools can handle much of the coding, knowing the basics will help you troubleshoot issues.
• A Computer: This should be capable of running the tools we’ll discuss.
• Time Commitment: Set aside 72 hours over three days. You’ll be working intensively, so plan accordingly.

Step-by-Step Plan to Build Your App

Day 1: Ideation and Design

1. Define Your App’s Purpose: Write down what problem your app solves. Keep it simple—focus on one core feature.
2. Wireframe Your App: Use a tool like Figma (Free tier + $12/mo pro) to create a basic layout.
3. Gather User Feedback: Share your wireframe with potential users for quick feedback.

Day 2: Coding with AI Tools

Tool Selection

Here’s a breakdown of some AI coding tools that can make your life easier:

| Tool | Pricing | Best For | Limitations | Our Take | |---------------|------------------------------|------------------------------|----------------------------------|------------------------------| | GitHub Copilot | $10/mo | Code suggestions and completion | Limited to supported languages | We use this for quick coding | | Replit | Free tier + $20/mo pro | Collaborative coding | Less robust for large projects | Good for prototyping | | OpenAI Codex | $20/mo | Natural language to code | Can misinterpret complex requests | We use this for API calls | | Tabnine | Free tier + $12/mo pro | Code completions | Limited to JavaScript and Python | Useful for repetitive tasks | | Codeium | Free | Real-time coding assistance | Still in beta | We don’t use this yet | | Ponicode | $19/mo | Unit testing and code quality | Focused on JavaScript | We haven't tried it | | CodeSandbox | Free tier + $9/mo pro | Web app development | Performance issues with large apps| We use this for demos | | StackBlitz | Free | Instant web app prototypes | Limited offline capabilities | We like the speed | | AI Dungeon | Free | Story-driven apps | Not suitable for traditional apps | Fun for brainstorming ideas | | Bubble | Free tier + $29/mo pro | No-code app development | Limited customization | We use it for quick MVPs |

Day 3: Testing and Deployment

1. Testing: Use tools like Jest or Cypress for automated testing. This ensures your app is functional.
2. Deployment: Deploy your app using platforms like Vercel (Free tier + $20/mo pro) or Netlify (Free tier + $19/mo pro). Both are great for front-end apps.
3. Gather Feedback: Share your app with users and iterate based on their feedback.

What Could Go Wrong?

• AI Misinterpretation: Sometimes, AI tools can misunderstand your requests. Always review the generated code.
• Performance Issues: If your app is slow, look into optimizing your code or switching hosting providers.
• User Feedback: Not all feedback will be actionable. Learn to differentiate between noise and valuable insights.

Conclusion: Start Here

Building your first app in 72 hours is ambitious but entirely possible with the right tools. Start with a clear idea, leverage AI coding tools to handle the heavy lifting, and don't forget to iterate based on user feedback.

If you're just starting out, I recommend focusing on tools like GitHub Copilot for code completion and Figma for design. This combo will streamline your process significantly.

What We Actually Use

In our experience, we primarily use GitHub Copilot for coding, Figma for design, and Vercel for deployment. This stack has helped us ship products quickly without compromising too much on quality.