Ai Coding Tools

How to Write Code 50% Faster Using AI Tools in 1 Hour

By BTW Team4 min read

How to Write Code 50% Faster Using AI Tools in 1 Hour

In 2026, the landscape of coding has transformed with the rise of AI tools that can significantly boost your productivity. If you've ever felt bogged down by repetitive coding tasks, you’re not alone. Many indie hackers and solo founders struggle with time-consuming coding processes that can drain their energy and creativity. The good news? You can leverage AI to write code 50% faster. In this guide, I’ll walk you through how to do it in just one hour.

Prerequisites: Get Ready to Code Faster

Before diving in, ensure you have the following:

  • A code editor (like VSCode or JetBrains)
  • An account with at least one AI coding tool (we'll cover several options below)
  • Basic coding knowledge (familiarity with your preferred programming language)
  • A project to work on (even a small side project will do)

Step 1: Choose Your AI Coding Tools

Here’s a list of the most effective AI coding tools available in 2026, complete with pricing, best use cases, and limitations.

| Tool Name | Pricing | Best For | Limitations | Our Take | |--------------------|---------------------------|----------------------------|-----------------------------------|-----------------------------------| | GitHub Copilot | $10/mo | Autocomplete code snippets | Limited to certain languages | We use it for quick suggestions. | | Tabnine | Free + $12/mo Pro | Contextual code completions| May miss complex patterns | Great for general use. | | Replit | Free + $20/mo for Pro | Collaborative coding | Performance drops with large files| We love the collaborative aspect. | | Codeium | Free | Multi-language support | Lacks advanced features | Good for budget-conscious builders.| | DeepCode | $29/mo, no free tier | Code reviews and suggestions| Limited language support | Not our go-to but useful for reviews.| | Sourcery | Free + $12/mo for Pro | Refactoring suggestions | Focused mainly on Python | We don’t use it since we code in JS.| | AI Dungeon | Free | Game development | Niche use case | Fun for prototyping ideas. | | Katalon Studio | Free + $75/mo for Pro | Automated testing | Can get pricey | We don’t use it due to costs. | | Codex | $20/mo | Advanced code generation | Requires extensive setup | Powerful but complex. | | CodeGen | Free | Code generation from prompts| Limited to simpler tasks | Useful for quick prototypes. |

What We Actually Use

In our experience, we primarily rely on GitHub Copilot and Replit for most of our coding needs. They strike the right balance between functionality and ease of use, allowing us to code faster without getting overwhelmed.

Step 2: Set Up Your Environment

  1. Install your chosen AI tool: Follow the setup instructions for your selected AI coding tool. For instance, if you’re using GitHub Copilot, install it as an extension in VSCode.

  2. Create a new project: Open your code editor and start a new project. This could be a simple web app or an API.

  3. Familiarize yourself with the tool: Spend a few minutes exploring the features of your AI tool. Most tools have a tutorial or onboarding process that can help you get acquainted.

Step 3: Start Coding with AI Assistance

Now, let’s put your AI tools to work.

  1. Begin typing your code: As you write, the AI tool will suggest completions. For example, if you're creating a function, start writing the function name and watch the AI suggest the rest.

  2. Use natural language prompts: If you’re stuck, try describing what you want in plain language. Tools like GitHub Copilot excel at interpreting these prompts and generating code snippets.

  3. Refactor with AI suggestions: After writing your code, ask your AI tool for refactoring suggestions. This can help optimize your code without extra effort.

Troubleshooting Common Issues

  • AI suggestions are irrelevant: If the AI is giving you poor suggestions, try rephrasing your code or providing more context.
  • Performance issues: Some tools may slow down your editor. Consider disabling any unnecessary extensions.
  • Learning curve: If you're struggling to adapt to AI coding, take a break and revisit the tool's documentation.

What's Next?

Once you’ve completed your project, consider exploring deeper functionalities of your AI tool. You can also look into integrating AI for automated testing or deployment processes.

Conclusion: Start Here to Code Faster with AI

To wrap it up, leveraging AI tools can significantly reduce the time you spend coding. Start with GitHub Copilot or Replit, and dedicate an hour to familiarize yourself with how they can assist you. You'll be surprised at how quickly you can speed up your coding process.

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