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

Feeling overwhelmed by coding? You’re not alone. Many beginners think they need to master complex concepts before writing even a few lines of code. But in 2026, AI coding tools have made it possible to get started quickly and effectively. In this guide, I’ll walk you through how to write your first 100 lines of code in just 2 hours using the best AI tools available today.

Prerequisites: What You'll Need

Before diving in, make sure you have the following:

1. A basic understanding of programming concepts: No need to be an expert, but familiarity with variables and functions is helpful.
2. A computer with internet access: This is essential for using online AI tools.
3. An open mind and willingness to experiment: Coding is as much about trial and error as it is about knowledge.

Step 1: Choose Your Programming Language

To kick things off, you need to decide which programming language you want to learn. Here are three popular choices for beginners:

• Python: Great for data science and web development.
• JavaScript: Essential for web development.
• Ruby: Known for its simplicity and readability.

Step 2: Select the Right AI Tool

Here’s a list of AI coding tools that can help you write code quickly:

| Tool | What It Does | Pricing | Best For | Limitations | Our Take | |------------------|-------------------------------------------------------|-----------------------------|-------------------------------|-------------------------------------------|----------------------------------| | GitHub Copilot | AI pair programmer that suggests code as you type | $10/mo, $100/yr | Writing code snippets | Can sometimes suggest inefficient code | We use this for quick prototypes. | | Codeium | AI-powered code completion and suggestions | Free + Pro at $19/mo | Fast coding assistance | Limited to supported languages | Great for beginners. | | Replit | Collaborative coding environment with AI assistance | Free tier + $7/mo Pro | Building small projects | Performance issues with larger apps | We love using this for quick tests. | | Tabnine | AI code completion tool that learns from your code | Free tier + $12/mo Pro | Individual developers | Limited to code completion, lacks context | We don’t use it due to limited features. | | Codex by OpenAI | AI that understands and generates code from natural language | $0.10/1k tokens | Natural language to code | Requires careful prompt crafting | It's powerful but can be tricky to use. | | PyCharm | IDE with AI code completion and suggestions | $89/yr for individual | Python development | Can be heavy on resources | We prefer lighter editors. | | IntelliCode | AI-assisted coding in Visual Studio | Free with Visual Studio | C# and .NET development | Limited to Microsoft products | We don’t use it for cross-platform development. | | Ponicode | AI tool for unit testing and code generation | $10/mo, free tier available | Testing and code generation | Not suitable for general coding | Useful for our testing needs. | | DeepCode | AI code review tool that suggests improvements | Free for open-source, $19/mo for private | Code reviews | Limited language support | We use this for better code quality. | | Sourcery | AI tool that improves your existing Python code | Free for individuals, $12/mo for teams | Code optimization | Only for Python | Great for refining existing code. |

Step 3: Set Up Your Environment

1. Install your chosen programming language: Follow the installation instructions on the official website.
2. Set up your AI tool: Create an account on the tool’s website, and follow the setup process. For example, if you’re using GitHub Copilot, make sure it’s enabled in your code editor.
3. Open your coding environment: This could be an IDE or a simple text editor.

Step 4: Start Coding

Now it’s time to write your first 100 lines of code. Here’s a simple project idea you can tackle in 2 hours: a basic calculator.

1. Define the functions: Start with basic operations like addition, subtraction, multiplication, and division.
2. Use your AI tool: As you type, let the AI suggest code snippets. For example, if you start typing def add(a, b):, Copilot might suggest the full implementation.
3. Test your code: Run your code frequently to check for errors and ensure everything works as expected.

Example Code Snippet

def add(a, b):
    return a + b

def subtract(a, b):
    return a - b

print("Welcome to the calculator!")
print("1 + 2 =", add(1, 2))
print("5 - 3 =", subtract(5, 3))

Troubleshooting Common Issues

1. AI Suggestions Aren't Relevant: If the AI isn’t suggesting useful code, try rephrasing your prompts or adding more context.
2. Errors in Code: Don’t be discouraged by errors. Use debugging tools or search for solutions online.
3. Time Management: If you're running out of time, focus on getting the core functionality working before adding enhancements.

What's Next?

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

1. Build more complex projects: Challenge yourself with small applications that interest you.
2. Learn about version control: Familiarize yourself with Git and GitHub for collaboration and backup.
3. Explore more advanced AI tools: As you grow, explore tools that offer deeper integrations and functionalities.

Conclusion: Start Here

To summarize, using AI coding tools can dramatically reduce the time it takes to write your first lines of code. My recommendation? Start with GitHub Copilot for its robust suggestions and ease of use. Pair it with a solid IDE like Replit for a smooth coding experience.

Now, get coding, and don’t forget to have fun with it!