Ai Coding Tools

How to Write Clean Code Using AI Assistance in 2 Hours

By BTW Team4 min read

How to Write Clean Code Using AI Assistance in 2026

As indie hackers and solo founders, we often juggle multiple roles, including that of a developer. Writing clean, maintainable code can feel overwhelming when you're also managing marketing and customer support. What if I told you that AI tools can help streamline this process? In this guide, I'll show you how to leverage AI assistance to write clean code in about two hours.

Prerequisites: What You'll Need

Before diving into the tools and techniques, ensure you have the following:

  • A code editor (like VS Code or JetBrains)
  • An account with at least one AI coding assistant (I'll list options below)
  • Basic understanding of programming concepts and languages (Python, JavaScript, etc.)

Step-by-Step Guide to Writing Clean Code with AI

1. Choose Your AI Tool

You'll want to start with an AI coding assistant. Here’s a quick comparison of some popular options:

| Tool | Pricing | Best For | Limitations | Our Take | |---------------------|-----------------------|-------------------------------|---------------------------------------|-------------------------------| | GitHub Copilot | $10/mo | General coding assistance | Limited to supported languages | We use this for quick snippets| | Codeium | Free tier + $10/mo | Multi-language support | Free tier has limited features | We don't use this; too basic | | Tabnine | $12/mo | JavaScript and Python | Lacks advanced features | We use this for JavaScript | | Replit | Free, $7/mo for Pro | Collaborative coding | Pro features are limited | We use this for collaboration | | Codex by OpenAI | $20/mo | Complex code generation | Costs can add up quickly | We don't use this; too expensive | | Sourcery | Free tier + $15/mo | Python code improvement | Limited to Python only | We use this for Python reviews |

2. Set Up Your Workspace

  • Install your chosen AI tool as a plugin in your code editor.
  • Create a new project or open an existing one where you want to apply clean coding practices.

3. Write Initial Code

Begin by writing the initial version of your code. Focus on functionality rather than cleanliness. You can always refactor later. For example, if you're building a simple API, start with the endpoints and logic without worrying about structure.

4. Use AI for Refactoring

After your initial pass, use your AI tool to help refactor your code. Here’s how:

  • Ask for Suggestions: Highlight sections of your code and prompt the AI tool for suggestions on how to improve readability and maintainability.
  • Review AI Outputs: The AI will provide improved code snippets. Review these suggestions, ensuring they make sense within your context.

5. Implement Best Practices

Leverage the AI's knowledge to implement best practices. Here are some common areas to focus on:

  • Naming Conventions: Use descriptive names for functions and variables.
  • Commenting: Ask the AI to suggest comments for complex logic.
  • Code Structure: Request the AI to reorganize your code into functions or classes if it’s too long or convoluted.

6. Troubleshooting Common Issues

  • What Could Go Wrong: Sometimes, AI suggestions may not fit your context perfectly. Always review the AI-generated code for logic errors or context mismatches.
  • Fixing Errors: If you encounter errors after implementing AI suggestions, revert to your original code and refine the improvements step by step.

7. Final Review and Testing

Once you’ve refactored your code, run tests to ensure everything works as expected. Use unit tests where applicable. This is where you validate that the AI's assistance didn't compromise functionality.

What's Next?

After you've written clean code, consider diving deeper into code optimization or exploring additional AI tools for testing and deployment. The cycle of coding, testing, and refining is continuous, and leveraging AI can make it significantly easier.

Conclusion: Start Here

To get started with writing clean code using AI, choose a tool that fits your budget and coding needs. Personally, I've found GitHub Copilot to be the most versatile and cost-effective for general use. Spend a couple of hours setting up and experimenting with the AI tool, and you'll be well on your way to cleaner code.

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