Vibe coding is a phrase that started as a joke and became the most honest description of how a lot of people are building software today.
The original meaning: you describe what you want, the AI writes the code, you describe what you want next. You never really read the code. You just vibe.
That's the meme version. The real version is more interesting.
What Actually Happens
When you work with an AI coding assistant well, you're doing something cognitively sophisticated: you're translating your intent into language the model can act on, then reviewing the output for fit, then adjusting. It's a loop. A tight one.
The people who do this well aren't abdicating understanding — they're developing a different kind of understanding. They know what they want to build at a high level, and they've developed an intuition for when the output is wrong.
That intuition is the skill. It's learnable.
Why It Matters Now
Programming has always had a knowledge barrier at the entry point. You had to learn to read and write code before you could build anything. That barrier is collapsing.
What's replacing it isn't "anyone can build anything instantly." It's something more nuanced: people who can think clearly, communicate precisely, and evaluate output can now build things that previously required years of training.
That's the shift. Not magic. Leverage.
The Part People Get Wrong
There are two failure modes:
Too much trust: You take whatever the AI gives you, don't review it, ship it. You end up with something that looks right but breaks in ways you can't diagnose.
Too much fear: You're convinced you need to understand every line before you can use it. You never actually build anything. You spend months "learning" without shipping.
The path between them is practical: build, break things, learn from what goes wrong. Use the AI as a collaborator, not an oracle.
What This Course Is About
Vibe Code Class exists because the practical path from "I want to build something" to "I built it and it works" is still opaque for most people.
The tools are more accessible than ever. The mental models for using them well are not.
That's what we teach.