Vibe coding is a way of building software where you describe what you want in plain language and AI tools write the code for you. Instead of typing syntax line by line, you tell the machine what you're trying to build. It generates working code that you review, refine, and ship.
Andrej Karpathy coined the term in early 2025. It stuck because it named something a lot of people were already doing: programming by intention rather than by keystroke.
It's not autopilot. It's pair programming
A common misconception is that vibe coding means you stop thinking. That's backwards. The best practitioners use AI as a fast collaborator. You still design the architecture, make the tradeoffs, and decide what "good" looks like. Implementation just happens faster because you're directing rather than typing.
Think of it like this. Traditional coding is writing an essay word by word. Vibe coding is dictating a first draft and then editing. The editing is still work. The difference is you get from zero to something real in minutes instead of hours.
What does a vibe coding session actually look like?
You open an editor. VS Code with Copilot, Cursor, Claude Code, or any tool that can see your codebase. You describe what you need:
// In the chat:
Add a webhook endpoint at POST /api/stripe-webhook that verifies Stripe signatures, checks for checkout.session.completed events, creates a KV record with the customer email, and sends a welcome email via Resend.
The AI generates the endpoint, the signature verification, the KV write, and the email call. You review it, spot that it's missing idempotency, ask for that, and iterate. Ten minutes later you have a working integration that would have taken an afternoon by hand.
When vibe coding works well
Vibe coding shines for:
- →Boilerplate and integrations. Webhooks, API endpoints, auth flows, email templates, CRUD operations. The patterns are well-known and the AI is fast at generating them.
- →Prototyping and exploration. Need to see if an idea works? Describe it, get a working version, and evaluate. The cost of being wrong is minutes, not days.
- →Translating designs into code. Hand the AI a mockup or a component specification and get production-ready HTML, CSS, or React components back.
- →Learning new frameworks. Instead of reading docs for hours, describe what you want and let the AI show you the idiomatic way to do it in a new stack.
When you still need traditional coding
Vibe coding is not a replacement for engineering judgment. You still need to write code by hand when:
- →The problem is novel. If there's no pattern to draw from, AI will hallucinate solutions. Hard algorithms, systems-level design, and performance-critical code still need human expertise.
- →Security is non-negotiable. AI generates code that works, not code that's safe. Every auth flow, payment integration, and data handling path needs human review for injection, race conditions, and privilege escalation.
- →You're building infrastructure. Databases, CI/CD pipelines, deployment configs. These need to be right the first time. AI can scaffold them, but the final version needs an engineer who understands the failure modes.
- →The codebase is large and complex. AI works well when it can see the full context. In a 500k-line monorepo, it will generate conflicting patterns. Architecture decisions need a human who holds the whole system in their head.
The real skill isn't prompting. It's knowing what to build
The hardest part of software engineering was never typing. It's deciding what to build, how to decompose the problem, what tradeoffs to make, and how to verify that the result is correct. Vibe coding makes the typing faster. It doesn't replace the thinking.
This is why the best vibe coders are experienced engineers. They know what good code looks like, they can spot when the AI has generated something that works but is wrong, and they can make architectural decisions that the AI can't.
Where this is heading
Vibe coding is going to become the default way most software gets built. Not because AI is replacing engineers, but because the bar for what one person can ship is rising fast. A solo developer with good taste and the right tools can now build what used to take a team weeks.
The engineers who thrive will be the ones who learn to work with AI rather than compete against it. They'll spend less time on boilerplate and more time on the hard problems. The ones where judgment, experience, and taste matter most.
If you want to see what this looks like in practice, check out how I build CI/CD pipelines or get in touch. I vibe-code everything I ship.