How to Write Your First 100 Lines of Code with AI in 2 Hours

Ever felt overwhelmed by the thought of coding? You’re not alone. Many aspiring developers get stuck in the cycle of tutorials without ever actually writing code. But what if I told you that you could write your first 100 lines of code in just 2 hours using AI tools? In 2026, with the advancements in AI coding assistants, this is not only possible but also practical. Let’s dive in.

Prerequisites: What You Need to Get Started

Before we jump into the coding process, here’s what you’ll need:

1. A Computer: Windows, macOS, or Linux will work.
2. Internet Connection: Most AI tools are cloud-based.
3. Code Editor: Install Visual Studio Code (Free) or use an online editor like Replit (Free with paid tiers).
4. Basic Understanding of Programming Concepts: Familiarity with variables, loops, and functions will be helpful but not required.

Step 1: Choose Your AI Coding Tool

With numerous AI coding tools available, choosing the right one can make a huge difference in your learning experience. Here’s a breakdown of some popular AI coding tools to help you get started:

| Tool Name | Pricing | What It Does | Best For | Limitations | Our Take | |----------------------|-----------------------------|-------------------------------------------------------|----------------------------------------|-----------------------------------------------------|-----------------------------------| | GitHub Copilot | $10/mo | Suggests code snippets and functions as you type | Beginners needing context-aware help | Limited support for niche programming languages | We use this for quick code hints | | ChatGPT (OpenAI) | Free tier + $20/mo for Pro | Answers coding questions and generates snippets | Understanding concepts and examples | May provide incorrect or insecure code | Great for conceptual help | | Replit AI | Free (limited) + $20/mo | In-line code suggestions and debugging | Beginners building small projects | Limited to their platform; can be slow | Good for collaborative coding | | Codeium | Free | AI-assisted code completion | Fast prototyping | Less context-aware compared to Copilot | We don’t use it much | | Tabnine | Free tier + $12/mo | Autocompletes code based on your style | Developers with specific coding styles | Needs training on your codebase | We use this for personalized tips | | Polycoder | Free | Generates code in multiple languages | Learning different programming languages| Limited to simpler tasks | We haven't tried it yet | | Sourcery | Free tier + $12/mo | Automatic code improvement suggestions | Improving existing code | Less effective for new code | Use it for code reviews | | CodeGPT | $19/mo | AI-powered code generation and debugging | Full project development | Can be expensive for solo projects | We prefer more cost-effective tools| | Ponicode | $29/mo | Auto-generates unit tests for your code | Testing and QA | Limited support for non-JavaScript languages | We don't use it | | Code Assistant | Free | Provides coding hints and best practices | General coding assistance | Basic suggestions only | Useful for beginners |

Step 2: Set Up Your Coding Environment

1. Install Visual Studio Code: Download and install from here.
2. Set Up Extensions: Install your chosen AI coding tool as an extension (e.g., GitHub Copilot).
3. Create a New Project: Open VS Code, create a new folder for your project, and open it.

Step 3: Start Coding

Now, let’s write some code. Here’s a simple plan for your first 100 lines:

1. Write a Simple Program: Start with a ‘Hello, World!’ program. Use your AI tool to help write this.
   • Expected Output: A console message saying "Hello, World!".
2. Add Variables and Functions: Create a function that takes user input and returns a greeting.
   • Expected Output: A personalized greeting based on user input.
3. Implement a Loop: Write a simple loop that counts from 1 to 10 and displays each number.
   • Expected Output: A list of numbers from 1 to 10.

Example Code Snippet

Using GitHub Copilot, your code could look like this:

// Hello World
console.log("Hello, World!");

// Greeting Function
function greet(name) {
    return `Hello, ${name}!`;
}

// Loop
for (let i = 1; i <= 10; i++) {
    console.log(i);
}

Step 4: Troubleshooting Common Issues

1. Code Doesn’t Run: Check for syntax errors. AI tools may not always get it right.
2. Unexpected Output: Ensure your logic is correct. Debug using console logs.
3. AI Suggests Wrong Code: Don’t blindly accept suggestions. Always review and understand them.

What’s Next?

Once you’ve written your first 100 lines of code, consider the following steps:

1. Explore More Features of Your AI Tool: Experiment with different functionalities.
2. Build a Small Project: Try to create a simple game or a web app.
3. Join a Coding Community: Engage with others on platforms like GitHub or Discord for feedback and support.

Conclusion: Start Here

If you’re ready to dive in, start by picking an AI coding tool that suits your needs. GitHub Copilot is a solid choice for beginners because of its contextual suggestions, while ChatGPT can help clarify concepts. Remember, the key is to practice regularly and not be afraid to make mistakes.

In our experience, using AI tools accelerates the learning curve drastically. So, grab your computer, set up your environment, and start coding!