How to Write Code 10x Faster Using AI Tools in 1 Hour

As a solo founder or indie hacker, you know that time is your most precious resource. What if I told you that with the right AI coding tools, you could write code up to 10 times faster? It sounds like a stretch, but I’ve seen it work firsthand. In this guide, we’ll explore practical tools that can help you speed up your coding process, along with a step-by-step method to get you started in just one hour.

Prerequisites

Before diving in, make sure you have the following:

• An IDE (Integrated Development Environment) like VSCode or JetBrains
• Accounts set up for the AI coding tools you want to try
• Basic understanding of the programming language you’ll be using

Time Estimate

You can finish setting this up in about 1 hour.

Step-by-Step Guide to Speed Up Coding with AI Tools

1. Choose Your AI Coding Tool

Let's start with a list of AI coding tools that can drastically enhance your productivity. Here’s a breakdown of some of the best options available in 2026:

| Tool Name | Pricing | Best For | Limitations | Our Take | |-------------------|----------------------------|-----------------------------------|--------------------------------------|-----------------------------------| | GitHub Copilot | $10/mo, free tier available| Autocomplete and suggestions | Limited in complex logic | We use it for quick code snippets.| | Tabnine | Free tier + $12/mo pro | Code completion across languages | Might not understand context fully | We prefer it for JavaScript. | | Codeium | Free | Context-aware suggestions | Limited to specific IDEs | Great for rapid prototyping. | | Replit | Free tier + $20/mo pro | Collaborative coding | Performance can lag with large files | We use it for team projects. | | Sourcery | Free for open-source | Refactoring suggestions | Not ideal for all languages | We don't use it much. | | Kodezi | $15/mo | Debugging assistance | Limited language support | We haven't tried it yet. | | AI Dungeon | Free | Game development | Not a traditional coding tool | Fun for experimenting with code. | | ChatGPT | Free tier + $20/mo pro | Conversational coding help | Might provide incorrect information | We use it for brainstorming ideas. | | Codex by OpenAI | $0-200/mo depending on usage| Complex coding tasks | Can be costly for heavy users | We use it for generating APIs. | | Polycoder | Free | Multi-language support | Still in beta, not fully stable | Not in our toolset yet. | | DeepCode | Free for open-source | Code review and suggestions | Limited to certain languages | We don't use it but hear good things.| | Quillbot | Free tier + $10/mo pro | Code summarization | Not a coding tool per se | Useful for documentation. |

2. Set Up Your IDE with AI Tools

Once you’ve chosen your tool, install it in your IDE. For instance, if you’re using GitHub Copilot:

• Install the GitHub Copilot extension in VSCode.
• Log in with your GitHub account.
• Enable Copilot in your settings.

3. Start Coding with AI Assistance

Here’s where the magic happens. Start writing your code, and as you type, watch how the AI suggests completions and entire lines of code. For example, if you’re implementing a function, just start typing the function name, and Copilot might suggest the entire function body.

4. Troubleshooting Common Issues

You might run into some hiccups along the way. Here are common issues and how to resolve them:

• AI Suggestions Are Off: If the suggestions don’t make sense, try rephrasing your code or providing more context.
• Performance Issues: Ensure your IDE and the AI tool are up-to-date. Sometimes, lag can be due to outdated software.

5. What's Next?

Once you’ve gotten the hang of it, explore more advanced features of your chosen tool. For example, GitHub Copilot can help you write tests or even documentation. Consider integrating it into your daily coding routine to keep your productivity levels high.

Conclusion

To truly write code 10x faster, it's not just about the tools; it's about how you integrate them into your workflow. Start with one of the tools listed above, set it up in your IDE, and give it a go. In our experience, GitHub Copilot offers the best balance of features and ease of use for most projects.

What We Actually Use

For most of our coding tasks at Built This Week, we rely on GitHub Copilot for its autocomplete functionality, supplemented by ChatGPT for brainstorming and API generation. This combination has allowed us to ship products faster without sacrificing quality.