How to Write Cleaner Code with AI Assistants in Just 1 Hour

As indie hackers and solo founders, we often juggle multiple roles, and writing clean code can feel overwhelming. If you’re spending too much time debugging or deciphering your own code, you’re not alone. The good news? AI coding tools can help you write cleaner code quickly and efficiently. In this guide, I’ll show you how to leverage these tools to improve your coding practices in just one hour.

Prerequisites: What You Need Before Starting

1. Basic Programming Knowledge: Familiarity with at least one programming language (Python, JavaScript, etc.).
2. Installed IDE: Make sure you have an Integrated Development Environment (IDE) like Visual Studio Code or JetBrains installed.
3. Access to AI Coding Tools: Sign up for a couple of AI coding assistants listed below.

Step 1: Select Your AI Coding Tools

First, let’s look at some popular AI coding tools. Here’s a handy comparison table to help you decide which ones to try:

| Tool Name | Pricing | Best For | Limitations | Our Take | |------------------|-------------------------|-------------------------------|--------------------------------------|--------------------------------| | GitHub Copilot | $10/mo, free tier | Code suggestions | Limited to supported languages | We use this for quick suggestions. | | Tabnine | Free tier + $12/mo pro | Code completion | Can misinterpret context | We don't use it due to inaccuracies. | | Codeium | Free | Multi-language support | Basic features compared to others | We use this for quick fixes. | | Replit AI | $20/mo | Collaborative coding | Limited offline capabilities | We don’t use it for solo work. | | Sourcery | Free tier + $10/mo pro | Python code improvement | Limited to Python | We use this for Python projects. | | Kite | Free | Code snippets and documentation| Limited integrations | We don’t use it as much. | | Codex | $0-20/mo | API integrations | Can be complex for beginners | We don’t use it due to complexity. | | DeepCode | Free | Static code analysis | Limited language support | We use this for quality checks. | | Ponic | $29/mo, no free tier | Language-agnostic suggestions | Higher cost | We don’t use it due to pricing. | | CodeGuru | $19/mo | Java code reviews | Amazon account required | We don’t use it as we prefer alternatives. | | AI Code Mentor | $15/mo | Learning and guidance | Not a fully automated solution | We use this for learning. |

Step 2: Setting Up Your Environment (15 mins)

1. Install Your Selected Tools: Based on the comparison, choose 2-3 tools to install. For example, I recommend starting with GitHub Copilot and Sourcery for their balance of features and usability.
2. Configure Your IDE: Integrate the tools into your IDE. This process typically takes about 5-10 minutes per tool.
3. Familiarize Yourself: Spend a few minutes exploring the interfaces and basic functionalities.

Step 3: Write Your Code (30 mins)

Now it’s time to write some actual code. Here’s how to do it effectively:

1. Choose a Simple Project: Pick a small project or a feature you want to implement. This could be anything from a simple API endpoint to a basic web application.
2. Use AI Suggestions: As you write, pay attention to the suggestions from your AI tools. For instance, GitHub Copilot will provide real-time suggestions based on your code context.
3. Refactor with AI: Once you have your initial code, use Sourcery to analyze and suggest improvements. This can include simplifying functions or improving variable names.

Step 4: Troubleshooting Common Issues (10 mins)

• Inaccurate Suggestions: If an AI tool suggests something that doesn’t make sense, don’t hesitate to ignore it. Always review and understand the code before implementing it.
• Language Limitations: Some tools may not support the language you’re using. Stick to those that do, or be prepared to switch tools.
• Integration Issues: If your IDE doesn’t play well with a tool, check the documentation or community forums for solutions.

What's Next?

After you've polished your code using AI tools, consider the following steps:

• Explore Advanced Features: Investigate more features of the tools you’ve chosen to make the most of them.
• Integrate into Your Workflow: Aim to incorporate AI assistance into your daily coding practices.
• Learn from Mistakes: Use the insights gained from AI suggestions to improve your coding skills over time.

Conclusion: Start Here

If you’re looking to level up your coding game and write cleaner code, start with GitHub Copilot and Sourcery. They’re user-friendly and effective for solo builders. Spend an hour setting them up and experimenting with your code, and you’ll see immediate improvements in your coding practices.

What We Actually Use:

• We primarily rely on GitHub Copilot for real-time code suggestions and Sourcery for Python projects. These tools have significantly reduced our debugging time and improved code quality.