Ai Coding Tools

How to Write Code 10x Faster Using AI in Just 30 Minutes

By BTW Team5 min read

How to Write Code 10x Faster Using AI in Just 30 Minutes

As indie hackers, we often find ourselves stretched thin, juggling multiple projects while trying to maintain a high standard of coding. If you've ever wished you could write code faster without sacrificing quality, you're not alone. Thankfully, with the rise of AI coding tools, there's now a way to enhance your coding speed significantly. In this guide, I’ll show you how to leverage AI tools to write code 10x faster in just 30 minutes.

Prerequisites Before You Start

Before diving in, ensure you have the following:

  • Basic programming knowledge: Familiarity with at least one programming language.
  • Access to a code editor: I recommend Visual Studio Code or JetBrains IDEs.
  • An AI coding tool account: Choose one from the list below.

Top AI Coding Tools to Boost Your Speed

Here's a breakdown of the top AI coding tools that can help you write code faster. Each tool is evaluated based on what it does, pricing, best use cases, limitations, and our take on it.

| Tool Name | Pricing | Best For | Limitations | Our Take | |-------------------|-----------------------------|--------------------------------------|--------------------------------------|----------------------------------------| | GitHub Copilot | $10/mo, free trial available | Autocomplete code and functions | Limited to popular languages | We use it for quick function generation. | | Tabnine | Free tier + $12/mo pro | Code suggestions and completions | Doesn’t understand context well | Good for quick fixes, but not for complex logic. | | Codeium | Free | Instant code suggestions | Less powerful than paid options | Great for basic tasks, especially for beginners. | | Replit | Free tier + $7/mo pro | Collaborative coding and debugging | Performance can lag with larger projects | We love it for pair programming sessions. | | Sourcery | Free tier + $12/mo pro | Refactoring and improving code quality | Limited language support | We use it for code quality checks. | | Ponicode | $15/mo, no free tier | Unit testing automation | Can be complex to set up | Helpful for ensuring test coverage, but not for all projects. | | Codex by OpenAI | $20/mo, free tier available | Natural language to code conversion | Limited accuracy with niche queries | We use it for generating boilerplate code. | | ChatGPT | Free tier + $20/mo pro | General coding help and debugging | Slower response times for large code | We use it for brainstorming and problem-solving. | | CodeWhisperer | $19/mo, free tier available | AWS-focused code suggestions | Limited to AWS context | Best if you’re deep into AWS. | | AIXCoder | Free tier + $10/mo pro | AI-driven coding assistance | Not as refined as others | A good backup tool for rapid prototyping. | | DeepCode | Free tier + $8/mo pro | Code review and security checks | Can miss context | We don’t use it regularly, but it’s useful for security audits. | | Kite | Free tier + $16.60/mo pro | Python and JavaScript code suggestions | Limited to certain languages | We find it helpful for Python development. | | Jupyter Notebook | Free | Interactive coding and experimentation | Not ideal for production code | Great for testing snippets and data analysis. | | Codacy | Free tier + $15/mo pro | Code quality checks and analysis | Can be overwhelming for small projects | Useful for maintaining standards in larger teams. |

What We Actually Use

In our experience, we primarily use GitHub Copilot for its seamless integration with our workflow, Tabnine for quick fixes, and ChatGPT for brainstorming solutions.

Step-by-Step Guide to Setting Up Your AI Coding Tool

1. Choose Your Tool

Pick one or two tools from the list above based on your specific needs.

2. Create an Account

Sign up for the selected AI tool(s) and navigate to the settings to customize your preferences.

3. Integrate with Your Code Editor

Follow the installation instructions specific to your code editor. Most tools have plugins for popular editors like VS Code.

4. Start Coding

Begin typing your code. Use the AI tool's suggestions to speed up your coding process. For instance, if you're using GitHub Copilot, you can start typing a function name, and it will suggest the complete code.

5. Review and Refine

Always review the AI-generated code. While these tools can boost your speed, they aren't perfect. Ensure that the code adheres to your project's standards.

Troubleshooting Common Issues

  • Slow Suggestions: If the AI tool is lagging, check your internet connection or restart your editor.
  • Incorrect Suggestions: Don't hesitate to modify the AI's suggestions. It's a tool to assist, not replace your judgment.
  • Language Limitations: If your chosen tool doesn’t support your language, consider switching to another tool that does.

What’s Next?

Once you've set up your AI coding tools, consider integrating other productivity tools like project management software (e.g., Trello or Notion) to keep your projects organized. You can also explore further automation tools to streamline your workflow even more.

Conclusion

To write code 10x faster, start with one or two AI coding tools that fit your needs. While these tools can significantly enhance your productivity, remember to review the generated code and use them as assistants rather than replacements.

If you're looking to kickstart your coding journey with AI, start with GitHub Copilot or Tabnine. In our experience, these tools provide the best balance of speed and accuracy for indie hackers.

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