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

If you've ever stared at a blank screen, overwhelmed by the prospect of writing your first lines of code, you're not alone. The good news? With the right AI tools, you can tackle this challenge in under two hours. In 2026, AI coding assistants are not just hype; they're genuinely useful for indie hackers, solo founders, and side project builders looking to break into coding.

Prerequisites: What You Need Before You Start

Before diving in, here’s what you should have:

• Basic understanding of programming concepts: You don’t need to be a pro, but knowing what variables, functions, and loops are will help.
• An AI coding assistant: We’ll cover specific tools that can guide you through the coding process.
• A code editor: Use something like Visual Studio Code (free) or Replit (free tier available).
• A clear project idea: Decide what you want to build. A simple web app or a script is ideal for your first 100 lines.

Step-by-Step: Writing Your First 100 Lines of Code

Step 1: Choose Your AI Tool

Here are some of the best AI coding tools available in 2026:

| Tool Name | Pricing | Best For | Limitations | Our Take | |---------------------|-----------------------------|------------------------------|-------------------------------------|-------------------------------| | GitHub Copilot | $10/mo, free trial available | General coding assistance | Limited to supported languages | We use it for quick suggestions. | | Tabnine | Free tier + $12/mo Pro | Autocomplete code snippets | Doesn’t provide full code solutions | We prefer it for JavaScript. | | Codeium | Free | Multi-language support | Not as intuitive as others | We don’t use it often, but it’s decent. | | Replit | Free tier + $20/mo Pro | Collaborative coding | Performance dips with larger projects | Great for team projects. | | OpenAI Codex | $20/mo | Advanced code generation | Requires some coding knowledge | We use it for complex functions. | | Sourcery | Free tier + $12/mo Pro | Python code improvements | Limited to Python | We don’t use it as much. | | LeetCode | Free tier + $35/mo Pro | Coding challenges and practice| More for learning than building | Skip if you're past beginner level. |

Step 2: Set Up Your Environment

1. Install your chosen code editor.
2. Install the AI tool: For example, if you choose GitHub Copilot, install the extension in your VS Code.
3. Create a new project: Start a new file and set up a basic structure for your project.

Step 3: Start Coding

1. Begin with a simple function: Use your AI assistant to generate code snippets. For instance, type function add(a, b) and let the AI suggest the body.
2. Iterate: Build upon your initial function. Ask the AI for help with specific tasks, such as adding error handling or optimizing the code.
3. Test your code: Run your code frequently to ensure everything works as expected.

Step 4: Get Feedback

Use your AI tool to review your code. For example, with GitHub Copilot, you can ask for suggestions on improving your code readability or efficiency.

Step 5: Finalize and Document

Once you have your 100 lines, add comments to your code. This will help you understand what you did later on and is a good practice for future projects.

Troubleshooting: What Could Go Wrong

• AI suggestions don’t work: Sometimes, the AI might suggest incorrect code. Always double-check what it generates.
• Overwhelmed by options: If too many suggestions come up, focus on one feature at a time.
• Syntax errors: Make sure to familiarize yourself with the syntax of the language you're using.

What’s Next?

Once you’ve written your first 100 lines, consider expanding your project. Explore adding features, or even start a new project using what you learned. If you’re feeling brave, share your code with the community for feedback.

Conclusion: Start Here

To write your first 100 lines of code with AI assistance in under two hours, pick a simple project, choose the right AI tool, and follow the steps outlined above. You’ll find that coding is less daunting than it seems, especially with the right assistance.

What We Actually Use

In our experience, we primarily rely on GitHub Copilot for its comprehensive suggestions and ease of use. For quick snippets, Tabnine is our go-to. If you’re starting out, these tools will significantly reduce your learning curve.