How to Use AI Coding Tools to Write Quality Code in 2 Hours

If you’re a solo founder or indie hacker, you know the struggle of writing quality code quickly. You might feel overwhelmed, especially if you're not a coding expert. The good news? AI coding tools have come a long way, and they can help you write better code in less time. In this guide, I’ll show you how to leverage these tools effectively in just two hours.

Prerequisites: What You Need to Get Started

Before diving into the tools, make sure you have:

• A basic understanding of programming concepts (variables, loops, functions).
• An IDE (Integrated Development Environment) installed like VS Code or PyCharm.
• An account set up on at least one AI coding tool platform (I’ll list them below).

Step 1: Choose the Right AI Coding Tool

Not all AI coding tools are created equal. Here’s a breakdown of some of the most effective ones for writing quality code:

| Tool Name | Pricing | Best For | Limitations | Our Take | |------------------|---------------------------|----------------------------|---------------------------------------|----------------------------------| | GitHub Copilot | $10/mo | Code completion | Limited to supported languages | We use this for quick snippets. | | Tabnine | Free tier + $12/mo pro | Autocompletion | Doesn’t understand project context | Good for general coding help. | | Replit | Free + $20/mo for pro | Collaborative coding | Slower for larger projects | Great for team projects. | | Codeium | Free | Multi-language support | Fewer integrations | Good for testing out ideas. | | CodeGPT | $15/mo | Natural language queries | Limited in complex code generation | Useful for generating explanations.| | Sourcery | $19/mo | Refactoring existing code | Not ideal for new code | We don’t use this much. | | Ponic | $29/mo | Debugging | Focuses more on Python | We use it for Python projects. | | AI Dungeon | Free | Game development | Limited coding features | Fun for creative coding. | | Codex | $0.10 per 1K tokens | API integrations | Requires API knowledge | We don’t use this directly. | | Kodezi | $5/mo | Learning and tutorials | Limited advanced features | Great for beginners. | | ChatGPT | Free tier + $20/mo pro | General coding questions | Doesn’t run code | We use this for brainstorming. | | Codex by OpenAI | $0.03 per 1K tokens | Custom code generation | API usage can get expensive | Good for specific tasks. |

Step 2: Set Up Your Environment

1. Install Your IDE: Make sure you have an IDE like VS Code set up. Both GitHub Copilot and Tabnine have plugins for VS Code, making integration smooth.

2. Install AI Tool Plugins: Depending on the tool you choose, install the necessary plugins/extensions in your IDE.

Step 3: Write Your First Code with AI

1. Start a New Project: Open your IDE and create a new project.

2. Use the AI Tool: Begin coding by typing a comment or function name. For example, if you're using GitHub Copilot, type // function to add two numbers and let it suggest a function body.

3. Iterate Quickly: Use the AI’s suggestions to build out your code. Accept, modify, or reject its suggestions based on your understanding.

4. Test Your Code: Run your code frequently to ensure everything works as expected. Use the AI tool to debug if issues arise.

Step 4: Troubleshooting Common Issues

• AI Suggests Incorrect Code: Always review the suggestions; they might not be context-aware.

• Tool Performance: If your tool is slow, check your internet connection or consider upgrading to a pro version for better performance.

What's Next: Building on Your Foundation

After your first coding session, consider:

• Exploring More Complex Projects: Use your newfound skills to tackle more complex applications.

• Integrating More Tools: Look into combining tools for specific tasks, like using CodeGPT for explanations and GitHub Copilot for coding.

• Continuing Education: Explore online courses or tutorials to deepen your coding knowledge.

Conclusion: Start Here

To get started with AI coding tools, pick one from the list above that suits your needs and budget. Spend about 30 minutes setting it up, and then dive into writing code. In two hours, you can have a solid foundation and see your productivity skyrocket.

What We Actually Use

For our projects, we primarily use GitHub Copilot for quick code completion and Tabnine for general assistance. It's efficient and saves us a ton of time, especially when we’re shipping products every week.