What is vibecoding? Building software with AI and plain English
Vibecoding means telling an AI what you want to build in plain English and letting it write the code. You describe the outcome, review what comes back, and iterate through conversation instead of writing syntax line by line.
where the term came from
Andrej Karpathy, the former head of AI at Tesla, coined the term in early 2025. He described it as building software where you vibe with the AI, giving it high-level directions and letting it handle the implementation. Say build me a todo app with a dark mode toggle and the AI generates a working codebase in seconds.
how it differs from regular AI coding
With GitHub Copilot, you still write code and the AI fills in snippets. You are in the driver seat. With vibecoding, you barely touch the keyboard. You describe what you want, review what the AI produces, and direct the next steps through conversation. The AI does the typing. You do the thinking.
why people are drawn to it
The appeal is straightforward. You can prototype an idea in minutes instead of hours. People who have never written code can build functional tools without learning a programming language first. Even experienced developers use it to skip boilerplate and get to the interesting parts faster.
the catch
AI-generated code can be insecure, inefficient, or just plain wrong. If you do not understand what the code does, you are trusting a black box. Debugging gets harder when something else wrote the code you are trying to fix. I have seen vibecoded apps that worked in the demo but fell apart under real traffic.
where this is heading
I do not think vibecoding replaces software engineers. It changes what they spend time on. Less typing, more reviewing. Less syntax, more architecture. The skill shifts from writing code to directing it. The best vibecoders I have talked to are still developers. They just work differently now.