How to Improve Your Coding Speed Using AI Tools in 2 Hours

As a solo founder or indie hacker, you know that time is money. If you could double your coding speed, imagine the projects you could ship and the features you could implement. In 2026, AI tools are no longer just a futuristic concept—they're here, and they're transforming how we code. But with so many options available, it can be overwhelming to know where to start. So, let's break it down into actionable steps to improve your coding speed using AI tools in just 2 hours.

Prerequisites: What You Need to Get Started

Before diving into the tools, ensure you have:

• A basic coding environment set up (e.g., VS Code, IntelliJ).
• An AI tool account for the tools you choose (most offer free trials).
• Familiarity with at least one programming language (Python, JavaScript, etc.).

Step 1: Choose Your AI Coding Tools

Here’s a list of AI tools that can significantly enhance your coding speed. Each tool serves a specific purpose, so pick a few that align with your needs.

AI Coding Tools Overview

| Tool Name | Pricing | Best For | Limitations | Our Take | |------------------|-------------------------------|----------------------------------|---------------------------------------|-----------------------------------| | GitHub Copilot | $10/mo, free trial available | Code suggestions and completions | Limited to supported languages | We use it for quick code snippets. | | Tabnine | Free tier + $12/mo pro | Autocomplete and suggestions | Not as context-aware as Copilot | We prefer Copilot for its context. | | Replit | Free tier + $7/mo pro | Collaborative coding | Can be slow with large projects | Great for quick prototyping. | | Codeium | Free | Code generation | Limited integrations | We don't use it because of lack of features. | | Sourcery | Free tier + $19/mo pro | Code reviews and suggestions | Best for Python only | We use it for improving our Python code. | | DeepCode | $19/mo, no free tier | Static code analysis | Limited language support | Useful for catching bugs early. | | KITE | Free | Code completions | Discontinued support | We stopped using it due to lack of updates. | | ChatGPT | Free tier + $20/mo pro | Coding Q&A | Can give incorrect code snippets | Great for debugging help. | | Codex | $0-10 depending on usage | Natural language to code | Requires some setup | We use it to automate repetitive tasks. | | Ponic | $29/mo, no free tier | Automated testing | High cost for small projects | We don't use it because it's pricey. | | AI Dungeon | Free | Story-driven coding projects | Not focused on productivity | Fun, but not practical for coding. | | Jupyter Notebook | Free | Interactive coding and prototyping | Steeper learning curve for beginners | We use it for data science projects. | | Cogram | $15/mo, no free tier | AI pair programming | Limited to specific IDEs | We find it helpful for pair coding. | | Codeium | Free | Fast code generation | Basic functionality only | We haven’t found it useful. | | Sourcegraph | $0-50/mo based on users | Code navigation and search | Can be complex to set up | Great for large codebases. |

What We Actually Use

In our experience, GitHub Copilot and Sourcery are our go-to tools for improving coding speed. Copilot excels at generating code while Sourcery helps us maintain code quality. If you're on a budget, start with the free tiers of Tabnine or Replit.

Step 2: Set Up Your Environment

1. Install Your Chosen Tools: Follow the installation instructions for each tool. Most will integrate directly with your code editor.
2. Configure Settings: Adjust settings to fit your workflow. For instance, in GitHub Copilot, you can enable or disable suggestions based on your preferences.
3. Create a Sample Project: Set up a simple project to test out the tools. This could be a small web app or an API.

Expected Output: You should have a functional project set up with AI tools integrated.

Step 3: Practice with AI Tools

Spend the next hour coding with your selected tools. Here are some tasks to focus on:

• Code Completion: Use GitHub Copilot to generate functions or components.
• Code Review: Run your code through Sourcery to identify potential improvements.
• Debugging: Ask ChatGPT to help troubleshoot specific errors.

Troubleshooting: What Could Go Wrong

• Tool Not Responding: Sometimes AI tools may lag or not respond. Restart your editor or check for updates.
• Incorrect Suggestions: AI isn’t perfect. Always review suggestions critically before implementing them.

Step 4: Measure Your Productivity

Track your progress during this session. Compare your output with previous coding sessions to gauge improvements.

Metrics to Consider

• Lines of Code Written: Count how many lines you wrote in the hour with AI assistance.
• Errors Found: Note how many issues were caught by tools like Sourcery.
• Time Saved: Estimate how much time you saved on repetitive tasks.

What's Next?

After this 2-hour session, you should have a better understanding of how AI tools can enhance your coding speed. Continue to experiment with different tools and refine your setup. Consider integrating your AI tools into a larger workflow, like using GitHub Actions for CI/CD.

Conclusion: Start Here

To truly improve your coding speed, start with GitHub Copilot and Sourcery. They’ve proven effective in enhancing our workflow and can do the same for you. Don’t be afraid to experiment with other tools as well—there's no one-size-fits-all solution.