How to Generate Code Using AI in Under 30 Minutes

As indie hackers and solo founders, we often find ourselves in the trenches, tackling everything from product development to marketing. One of the biggest challenges is writing code quickly and efficiently—especially when deadlines loom. In 2026, AI coding tools have matured significantly, making it easier than ever to generate code in a fraction of the time. In this article, I’ll walk you through how to leverage these tools to generate code in under 30 minutes.

Prerequisites: What You Need Before Starting

Before diving in, here are the essentials you'll need:

1. Basic Programming Knowledge: Familiarity with at least one programming language (like JavaScript or Python).
2. AI Coding Tool: Choose one from the list below (I recommend starting with GitHub Copilot or Cursor).
3. Code Editor: An IDE or text editor (like VSCode) where you can experiment with the generated code.
4. An Idea: A simple project in mind—something like a to-do list app or a basic API.

Step-by-Step: Generating Code in Under 30 Minutes

Step 1: Set Up Your Environment (5 minutes)

1. Install Your AI Tool: If you haven’t yet, install your chosen AI coding tool. For GitHub Copilot, you’ll need a GitHub account (pricing starts at $10/mo). Cursor is free to start with a lot of features.
2. Open Your Code Editor: Launch your IDE and create a new file for your project.

Step 2: Define Your Project (5 minutes)

Clearly outline what you want to build. For instance, if you’re creating a to-do list app, you might write down:

• User can add tasks.
• User can delete tasks.
• Tasks are persisted in local storage.

Step 3: Generate Code Using AI (15 minutes)

1. Use Comments for Guidance: In your code editor, start typing comments that describe what you want to achieve. For example:

   // Create a function to add a task
   

2. Invoke AI Suggestions: As you type, the AI tool will suggest code snippets. Accept the suggestions that fit your needs.
3. Iterate: Continue refining your project by adding more comments and accepting AI-generated code for each feature.

Step 4: Test Your Code (5 minutes)

Run your project in a local environment to see if everything works as expected. If something breaks, refer back to the AI tool for debugging suggestions.

Tools for AI Code Generation

Here’s a breakdown of the most popular AI coding tools available in 2026:

| Tool | Pricing | Best For | Limitations | Our Take | |--------------------|-------------------------------|----------------------------------|-----------------------------------------|----------------------------------| | GitHub Copilot | $10/mo with a free trial | Full code suggestions | Requires GitHub account, limited to supported languages | We use Copilot for quick snippets. | | Cursor | Free tier + $20/mo pro | Collaborative coding | Some features locked behind pro tier | Great for teams, but we find the free tier sufficient. | | Tabnine | Free + $12/mo Pro | Autocompletion | Limited language support | Good for basic autocompletion. | | Codeium | Free | Open-source projects | Lacks advanced features | Not our first choice but useful for open-source. | | Replit | Free + paid plans starting at $7/mo | Rapid prototyping | Performance issues with larger projects | Good for quick demos, but not for production. | | Amazon CodeWhisper | Pay-as-you-go | AWS-focused projects | Limited outside AWS ecosystem | Useful if you’re deep in the AWS stack. | | DeepCode | Free + $15/mo for Pro | Code review and analysis | Focused on code quality, not generation | We don’t use it because we prefer hands-on coding. | | Sourcery | Free + $12/mo for Pro | Python code improvements | Limited to Python | Great for Python, but not for other languages. | | AIDev | $29/mo, no free tier | Comprehensive project builds | Expensive for indie developers | We don’t use it due to cost but it’s powerful. | | OpenAI Codex | Pay-per-use | Versatile code generation | Costs can add up quickly | We use it for specific tasks that require complex logic. |

What We Actually Use

In our experience, GitHub Copilot is our go-to tool for generating code quickly. We also dabble with Cursor for collaborative projects, but for solo work, Copilot's suggestions are hard to beat.

Conclusion: Start Here

If you're looking to generate code quickly, start with GitHub Copilot. Set aside 30 minutes, follow the steps outlined, and watch as you bring your project to life with the help of AI. Remember, the key is to have a clear idea of what you want to build and to make use of the AI tool's suggestions effectively.