How to Improve Your Coding Speed with AI Tools in Just 30 Days

As indie hackers and solo founders, we often find ourselves juggling multiple projects while trying to maintain our coding efficiency. The days of spending hours debugging or writing boilerplate code can feel endless. Fortunately, with the rise of AI coding tools, we have a chance to dramatically improve our coding speed in just 30 days. In this article, I’ll break down the most effective tools and strategies to help you code faster and smarter.

Prerequisites: Get Ready to Code

Before diving into the tools, here’s what you need to get started:

• Basic familiarity with coding: You should know the fundamentals of at least one programming language.
• Access to a code editor: Tools like Visual Studio Code or JetBrains IDEs work well.
• An open mind: Be ready to experiment with new workflows and tools.

Day 1-7: Set Up Your AI Coding Environment

1. Choose Your AI Coding Assistant

AI coding assistants can provide real-time code suggestions, help with debugging, and even generate entire functions based on comments. Here are some of the best options:

| Tool | Pricing | Best For | Limitations | Our Take | |-------------------|-------------------------------|--------------------------------|--------------------------------------|------------------------------------------| | GitHub Copilot | $10/mo | Code completion | Limited in some niche languages | We use this for quick code suggestions. | | Tabnine | Free tier + $12/mo pro | Autocompletion and snippets | May not understand complex contexts | Good for quick fixes, but lacks depth. | | Codeium | Free | Fast code generation | Limited integrations | We use it for generating code blocks. | | Replit | Free tier + $20/mo pro | Collaborative coding | Performance issues at scale | Great for team projects, but can lag. |

2. Configure Your Editor

Spend some time configuring your chosen code editor with the AI tools you selected. Most editors allow easy integration of plugins. For example, with Visual Studio Code, you can simply search for the extension in the marketplace and install it.

Day 8-14: Practice Regularly

3. Daily Coding Challenges

Set aside at least 30 minutes daily to tackle coding challenges using your AI tools. Platforms like LeetCode or HackerRank are great for this. The goal is to get accustomed to using the AI suggestions to enhance your coding speed.

4. Reflect on Your Progress

At the end of each week, reflect on what you learned. Are there specific areas where AI tools helped you? Document your progress to see how your coding speed improves.

Day 15-21: Advanced Features

5. Explore Advanced AI Features

Many AI coding tools offer advanced features that can further enhance your productivity:

• GitHub Copilot can suggest entire functions based on comments.
• Tabnine can be trained on your codebase for more tailored suggestions.

6. Integrate AI Suggestions into Your Workflow

Try to integrate AI-generated suggestions into your workflow. For example, use them to automate repetitive tasks or generate boilerplate code. This can drastically reduce the time spent on mundane tasks.

Day 22-30: Optimize and Measure

7. Measure Your Coding Speed

By now, you should have a good grasp of how AI tools can improve your coding speed. Take a couple of coding tasks that you completed at the beginning of the month and redo them. Measure how much faster you can complete them with the AI tools.

8. Optimize Your Workflow

After measuring your speed, identify which AI tools or features provided the most value. Focus on refining your use of these tools. For instance, if you find that GitHub Copilot saves you the most time, consider using it for more of your projects.

Conclusion: Start Here

To improve your coding speed in just 30 days, start by setting up your AI coding tools, practice regularly, and integrate advanced features into your workflow. The key is consistency and reflection on your progress.

What We Actually Use

In our experience, we primarily use GitHub Copilot for its robust suggestions and Tabnine for quick snippets. This combination has been effective in speeding up our coding process significantly.