How to Write Code 5x Faster Using AI Tools: A Step-by-Step Tutorial

In 2026, the landscape of coding has shifted dramatically thanks to AI tools that promise to make us faster and more efficient. But here's the kicker: while many of these tools claim to boost your coding speed, not all of them deliver on that promise. I’ve spent countless hours testing various AI coding tools, and I can tell you that the right combination can genuinely make you code five times faster. Let’s dive into how you can implement this in your own workflow.

Prerequisites: Tools You’ll Need

Before we jump into the step-by-step process, here’s what you need to get started:

1. Code Editor: VS Code or JetBrains IDE (we'll focus on VS Code).
2. AI Coding Tool: Choose from the tools listed below.
3. Basic understanding of your programming language of choice: This tutorial assumes you know the basics of coding in languages like Python, JavaScript, or Ruby.

Step 1: Choose Your AI Coding Tool

Here’s a list of AI coding tools you can use:

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |------------------|---------------------------------------------|------------------------------|--------------------------------|---------------------------------------------|------------------------------------------------| | GitHub Copilot | AI pair programmer for code suggestions | $10/mo, $100/year | Quick code snippets | Limited to GitHub; may suggest incorrect code | We use this for rapid prototyping. | | Tabnine | AI-powered code completion | Free, Pro $12/mo | Autocomplete suggestions | Not as contextual as other tools | Great for standard coding tasks. | | Codeium | AI-based code suggestions and completions | Free | Beginners | Limited advanced features | We don’t use this because it lacks depth. | | Replit | Collaborative coding with AI assistance | Free tier + $20/mo Pro | Team projects | Performance issues with large codebases | We use this for collaborative projects. | | Sourcery | Real-time code improvement suggestions | Free, Pro $19/mo | Improving existing code | Less effective with complex logic | We don’t use this because of limited support. | | Ponicode | Unit test generation using AI | $15/mo | Test-driven development | Limited to JavaScript | We use this for writing tests efficiently. | | Codex by OpenAI | Natural language to code conversion | $0.01 per token | Complex coding tasks | Costs can add up quickly | We use this for generating complex functions. | | Katalon Studio | AI-powered testing automation | Free tier + $42/mo | Automated testing | Can be complex to set up | We don’t use this for simple tests. | | AI Dungeon | AI-driven narrative coding | $9.99/mo | Creative coding | Not focused on practical coding | Skip if you’re looking for serious tools. | | CodeGPT | Chatbot for coding queries | $10/mo | Learning and support | Limited code generation capabilities | We use this for quick answers to coding questions. |

Step 2: Set Up Your Environment

1. Install VS Code: Download and install VS Code if you haven't already.
2. Install Your Chosen AI Tool: For example, if you chose GitHub Copilot, install the extension from the VS Code Marketplace.

Step 3: Create a New Project

1. Open VS Code and create a new folder for your project.
2. Open the terminal and initialize your project with npm init -y or the equivalent command for your language.

Step 4: Start Coding with AI Assistance

Let’s assume you’re building a simple web application in JavaScript. Here’s how to incorporate AI:

1. Write a Comment: Start with a comment describing the function you want to create. For example, // Function to fetch user data.
2. Trigger AI Suggestions: As you start typing, the AI tool will suggest code snippets. Accept suggestions by pressing Tab or Enter.
3. Iterate and Improve: Use the AI tool to refactor code. For example, if you type // Refactor this function to use async/await, the AI will provide suggestions.

Step 5: Test and Debug

1. Use AI for Debugging: If you encounter errors, you can ask your AI tool for help. For example, type // Why is this not working? and see what suggestions it provides.
2. Run Your Code: Use the terminal to run your application and see if everything works as expected.

Troubleshooting: What Could Go Wrong

1. Inaccurate Suggestions: Sometimes the AI will suggest code that doesn’t fit your context. Always review the code before implementing it.
2. Performance Issues: If your IDE slows down, consider disabling some extensions or switching to a lighter code editor.

What’s Next: Level Up Your Coding Skills

Once you’ve mastered using AI tools, consider exploring advanced topics like:

• Integrating AI into your CI/CD pipeline.
• Using machine learning libraries to enhance your coding.
• Collaborating with other developers using AI tools for pair programming.

Conclusion: Start Here

So, if you want to code faster in 2026, start with GitHub Copilot or Tabnine. They’re reliable, affordable, and can genuinely speed up your workflow. Just remember, the key is to use these tools as assistants, not crutches.

What We Actually Use

In our experience, GitHub Copilot and Replit are our go-to tools. They strike the right balance between functionality and ease of use, making our coding process significantly faster.