Imagine you want to build a small application. Instead of opening a code editor and writing every line of syntax yourself, you open a chat window and describe what you want to an AI. You tell it the 'vibe' of the program: its purpose, its features, and how it should feel to use. The AI then generates the code for you. This is the essence of vibe coding.

The term was coined by Andrej Karpathy in February 2025. It describes a shift from writing code to directing an AI that writes code. The developer's role becomes more about high-level design, clear communication, and iterative refinement. You have a conversation with the machine, adjusting your prompts and providing feedback until the generated program matches your vision.

Traditional coding requires deep knowledge of a specific programming language's syntax and structure. Vibe coding, on the other hand, prioritizes the ability to clearly articulate a goal. It's less about knowing how to write the code and more about knowing what you want the code to do.

This doesn't mean developers no longer need technical skills. They still need to understand the underlying logic, evaluate the AI's output, and debug when things go wrong. However, the focus shifts from the tedious mechanics of writing code to the creative process of building and testing a product. The developer acts more like an architect guiding a team of builders.

Vibe coding is powered by Large Language Models (LLMs). These are complex AI systems trained on immense datasets of text and code from the internet. By processing all this information, they learn the patterns, structures, and relationships within programming languages. When you give an LLM a prompt, it uses this learned knowledge to predict the most likely sequence of code that fulfills your request.

The process isn't a one-shot deal. It's an iterative loop.

You start with a broad idea. The LLM gives you a first draft. You test it, find what's missing or incorrect, and then refine your prompt with more specific instructions. This back-and-forth continues until the software behaves as intended.

Let's say you want to build a simple web app that converts temperatures from Celsius to Fahrenheit. Here's how the conversation might go.

The LLM generates the initial HTML, CSS, and JavaScript code. You test it, and it works, but it looks very plain.

The LLM updates the CSS. Now it looks better, but it doesn't handle non-numeric input. If someone types "hello" into the box, it breaks.

The LLM adds the necessary JavaScript logic. Through this iterative dialogue, you build a functional and robust application without writing much code by hand. Vibe coding is especially powerful for rapid prototyping, building small tools, and exploring new ideas quickly.