How to Create a Simple App Using AI Code Assistants in Under 2 Hours

Building an app can feel like an overwhelming task, especially if you're a solo founder or an indie hacker. But what if I told you that with the right AI code assistants, you could create a simple app in under two hours? That’s right—thanks to advancements in AI, the coding process has become more accessible and efficient than ever. In this guide, I'll walk you through the tools you need and the steps to take, so you can focus on what really matters: getting your product out there.

Prerequisites

Before diving into the build, make sure you have the following ready:

• Basic understanding of coding concepts: You don’t need to be a pro, but familiarity with programming basics will help.
• A code editor: I recommend Visual Studio Code (VSCode) because it's free and widely used.
• An account with at least one AI code assistant: We'll cover several options below.

Step-by-Step Guide to Building Your App

Step 1: Define Your App Idea

Before writing any code, outline what your app will do. Keep it simple! For example, create a to-do list app or a weather app. This will help you stay focused and avoid feature creep.

Step 2: Choose Your AI Code Assistant

Here are some top AI code assistants you can use:

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |--------------------|---------------------------------------|---------------------------|----------------------------------|-----------------------------------------------|-----------------------------------| | GitHub Copilot | AI pair programmer for code suggestions| $10/mo, free tier available| Writing code snippets quickly | Can suggest incorrect code | We love it for quick fixes. | | Tabnine | AI code completion tool | Free tier + $12/mo pro | Speeding up coding in various languages | Limited support for niche frameworks | We use it for JavaScript projects.| | Codeium | AI code assistant with multi-language support| Free | Beginners wanting guidance | May lack depth in complex scenarios | We don’t use it much, but it's free!| | Replit | Collaborative coding environment | Free tier + $20/mo pro | Building apps collaboratively | Limited features in the free tier | Great for team projects. | | OpenAI's ChatGPT | Conversational AI for coding queries | $20/mo for pro version | Getting explanations and code examples| Not a direct coding tool, but very helpful | We often use it for brainstorming.| | Sourcery | Code improvement tool | Free tier + $12/mo pro | Refactoring existing code | Focused on Python only | We use it to clean up our Python code.| | AI Dungeon | Text-based adventure and prototype tool| Free + premium options | Prototyping game ideas | Not a traditional coding tool | Fun for ideation, but not for real apps.| | Ponic | AI-driven app builder | $29/mo, no free tier | Quick app creation with templates| Limited customization options | We don’t use it, too limiting. | | Cogram | AI coding assistant for Python | Free tier + $15/mo pro | Python developers | Focused only on Python | Great for Python, but we need more.| | Codex | OpenAI’s coding model | $0.01 per token used | Advanced coding tasks | Cost can add up if you’re not careful | We use it sparingly for complex tasks.|

Step 3: Set Up Your Development Environment

1. Install VSCode: Download and install Visual Studio Code if you haven’t already.
2. Set up the AI tool: Follow the setup instructions specific to the AI code assistant you've chosen.

Step 4: Start Coding

Using your AI code assistant, start coding based on the app idea you defined. For example, if you're building a to-do list app, you might start by creating a basic HTML structure and then ask your AI assistant to help you with JavaScript functionality.

Step 5: Testing Your App

Once you have a basic version of your app, test it thoroughly. Use your AI assistant to debug any issues. For example, you can ask it for help when something isn’t working as expected.

Step 6: Deployment

Deploy your app using a platform like Vercel or Netlify, which offer free tiers and are easy to use. Just follow their guides, and you’ll be live in no time!

Troubleshooting Common Issues

• Code errors: If the AI suggests code that doesn't work, try asking it for alternatives or consult the documentation for the language you're using.
• Deployment failures: Make sure you have the right configurations set up, and check the platform's documentation for troubleshooting tips.

What's Next?

Now that you've built your app, consider gathering user feedback to iterate on your design. Use tools like Hotjar to track user interactions and improve your app based on real data.

Conclusion

Creating a simple app using AI code assistants is not only possible but also incredibly efficient. With the right tools and a focused idea, you can have your app up and running in under two hours. Start with GitHub Copilot or Tabnine for quick code assistance, and don’t hesitate to leverage ChatGPT for brainstorming and problem-solving.

What We Actually Use

In our experience, we primarily rely on GitHub Copilot for coding assistance and Vercel for deployment, as they balance functionality and cost effectively.