How to Increase Your Coding Speed by 50% Using AI in 2 Hours

As a solo founder or indie hacker, you know the pain of hitting roadblocks while coding. It can feel like time slips away, and before you know it, you’ve spent hours on what should’ve been a simple task. But what if I told you that with the right AI tools, you could boost your coding speed by 50%? In this guide, I’ll share how you can achieve this in just two hours using powerful AI coding tools available in 2026.

Prerequisites: Tools You’ll Need

Before diving in, make sure you have the following set up:

• A code editor (e.g., Visual Studio Code)
• GitHub account for using Copilot
• Access to the internet to use cloud-based tools
• Basic knowledge of your programming language of choice

Step 1: Choose the Right AI Coding Tools

Here’s a breakdown of some AI coding tools that can help you increase your efficiency. I’ve included what they do, their pricing, and their limitations.

| Tool Name | Pricing | Best For | Limitations | Our Take | |-------------------|-------------------------------|------------------------------------|-------------------------------------------|------------------------------| | GitHub Copilot | $10/month, free trial available | Code suggestions and completions | Limited support for niche languages | We use Copilot for quick suggestions. | | Tabnine | Free tier + $12/month pro | Code completions and suggestions | Can be hit-or-miss with context | We find it useful for repetitive tasks. | | Codeium | Free | Multi-language support | Limited integrations with IDEs | We haven’t tried it yet but hear good things. | | Replit | Free tier + $20/month pro | Collaborative coding | Performance issues with large projects | We use Replit for quick prototyping. | | Sourcery | Free + $12/month for pro | Code refactoring | Limited to Python | We use it to clean up our Python code. | | AI Dungeon | Free + $9.99/month for pro | Text-based coding challenges | Not focused on productivity | Great for fun coding practice. | | DeepCode | Free for open-source, $50/month for private | Code review and analysis | Doesn’t support all languages | We don't use it as it’s more for larger teams. | | Ponicode | Free tier + $29/month pro | Unit test generation | Limited to JavaScript and Python | Useful for speeding up testing. | | Codex | $0-20/month | API integrations | Requires some setup | We use it to automate API calls. | | Kite | Free + $19.90/month pro | Code completions | Limited to Python and JavaScript | We’ve found it helpful for Python. | | Codeium | Free | Multi-language support | Limited integrations with IDEs | We haven’t tried it yet but hear good things. | | ChatGPT | $20/month for Plus | Coding Q&A and debugging | Can provide incorrect suggestions | We use it for troubleshooting. |

Step 2: Set Up Your Environment

1. Install GitHub Copilot: If you’re using Visual Studio Code, simply install the GitHub Copilot extension from the marketplace. The setup takes about 10 minutes.

2. Install Tabnine: Go to the Tabnine website, sign up, and integrate it with your code editor. This should take another 10 minutes.

3. Try Sourcery: If you’re coding in Python, install Sourcery to help you refactor your code. The setup is straightforward and can be done in 5 minutes.

4. Explore Replit: Create an account on Replit for collaborative coding. This is especially useful if you’re working with a partner. This can take around 15 minutes.

Step 3: Practice with AI Tools

Spend the next hour practicing coding with these tools. Here’s a suggested workflow:

1. Start a project: Pick a small feature or project to work on.
2. Use GitHub Copilot: As you type, let Copilot suggest code. Accept or modify its suggestions based on your needs.
3. Refactor with Sourcery: Once you have a working codebase, run your code through Sourcery to see suggestions for improvements.
4. Collaborate on Replit: If you have a partner, invite them to your Replit project and code together in real-time.

Step 4: Troubleshooting Common Issues

While working with AI tools, you might encounter some common issues:

• Tool Conflicts: Sometimes, you may find that multiple tools suggest conflicting code. In this case, trust your judgment or the one that makes more sense for your project.
• Inaccurate Suggestions: AI isn’t perfect. Always review the generated code to ensure it meets your standards. If you find yourself correcting too much, it might be worth switching tools.
• Integration Issues: Some tools may not integrate well with your IDE. If you encounter problems, check forums or the tool's support page for solutions.

What’s Next?

After you’ve spent two hours practicing and getting comfortable with AI tools, look for ways to incorporate them into your daily workflow. Document your experiences and keep tweaking your setup until you find the combination that works best for you.

Conclusion: Start Here

If you’re looking to increase your coding speed, I recommend starting with GitHub Copilot and Tabnine. Together, they cover most scenarios and can significantly enhance your productivity. Allocate a couple of hours to set them up and practice, and you’ll likely see improvements in your coding speed right away.