Ai Coding Tools

How to Write Clean Code Using AI Tools in 60 Minutes

By BTW Team4 min read

How to Write Clean Code Using AI Tools in 60 Minutes

In 2026, writing clean code is more crucial than ever, especially with the influx of AI tools designed to assist developers. But let's be real: many of these tools promise the world but often fall short in practice. If you're a solo founder or indie hacker, you might feel overwhelmed by the abundance of options and the pressure to maintain coding standards.

In this guide, I’ll walk you through how to leverage AI tools to help you write clean code in just 60 minutes. We'll cover the tools you need, how to set up your environment, and the best practices for integrating AI into your coding workflow.

Prerequisites: What You Need Before We Start

Before diving in, make sure you have the following:

  1. Code Editor: A modern code editor like Visual Studio Code or JetBrains IDE.
  2. AI Tools: A subscription to at least one AI coding assistant (we'll discuss options below).
  3. Basic Knowledge of Coding Standards: Familiarity with concepts like naming conventions, code structure, and documentation.
  4. Time: Set aside an uninterrupted 60 minutes.

Step 1: Choosing the Right AI Tools (10 minutes)

To write clean code, you need the right tools. Here’s a list of AI coding assistants that can help:

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |------------------|-----------------------------------------|-------------------------------|-----------------------------------|-----------------------------------|-----------------------------------| | GitHub Copilot | AI pair programmer for code suggestions | $10/mo per user | General coding assistance | Sometimes suggests bad practices | We use it for quick coding tasks. | | Tabnine | AI code completion tool | Free tier + $12/mo pro | Fast code completions | Limited language support | Great for boosting productivity. | | Codeium | AI-based code suggestions | Free, $19/mo for pro | Multi-language support | Inconsistent suggestions | We prefer it for diverse projects.| | Kite | AI-powered code completions | Free, Pro version at $19.90/mo| Python and JavaScript | Limited to specific languages | Good for Python-heavy projects. | | Sourcery | AI refactoring tool | Free, $12/mo for pro | Python code improvement | Focuses only on Python | We don’t use it as we prefer multi-language support. | | Replit | Online IDE with built-in AI | Free tier + $20/mo for pro | Collaborative coding | Limited offline capabilities | Useful for team projects. | | Codex | OpenAI's code generation model | Pricing varies by usage | Generating code from comments | Requires fine-tuning | Great for prototyping. |

Step 2: Setting Up Your Environment (10 minutes)

Now that you've chosen your tools, it's time to set up your coding environment. Follow these steps:

  1. Install Your Code Editor: Download and install Visual Studio Code or your preferred IDE.
  2. Add Extensions: Install the relevant extensions for your chosen AI tools.
  3. Configure Settings: Customize settings to match your coding standards (indentation, line length, etc.).

Step 3: Writing Clean Code with AI Assistance (30 minutes)

Now that you're set up, let's start coding! Follow these steps:

  1. Start a New Project: Create a new repository or project in your code editor.
  2. Write a Function: Begin by writing a simple function. For example, a function that calculates the sum of an array.
  3. Use AI Suggestions: As you type, let your AI tool provide suggestions. Accept the ones that adhere to clean coding standards.
  4. Refactor Code: Use tools like Sourcery to help refactor your code. Check for areas where your code can be made cleaner or more efficient.
  5. Add Comments: Document your code using comments. Use AI to generate descriptive comments if needed.

Expected Output

After 30 minutes, you should have a cleanly written function that adheres to your coding standards, along with appropriate documentation.

Troubleshooting: What Could Go Wrong

  1. Poor Suggestions: If the AI tool suggests bad practices, don't hesitate to reject them. Remember, you know your coding standards best.
  2. Tool Conflicts: Sometimes, multiple tools may conflict with each other. Disable one if you notice issues.
  3. Language Limitations: Ensure that your AI tool supports the language you're coding in. If not, switch to a more compatible tool.

What's Next: Leveling Up Your Coding Skills

Once you've mastered writing clean code with AI tools, consider diving deeper into topics like automated testing or code reviews. You might also want to explore more advanced AI tools that can help with project management or team collaboration.

Conclusion: Start Here

To kick off your journey to writing clean code in 2026, I recommend starting with GitHub Copilot and Tabnine. They provide a solid balance of features and usability for indie developers. Spend an hour experimenting with these tools, and you'll be on your way to cleaner, more maintainable code.

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