What Is Vibe Coding? A Plain Definition (and Its Limits)

If you’ve heard the phrase “vibe coding” and want a straight answer, here it is: vibe coding is building software by describing what you want in natural language and letting an AI write the code. You prompt, the AI generates, you look at the result, you prompt again. You steer by feel and by output — the “vibe” — rather than by reading and writing every line yourself.

That’s the whole idea. What follows is where it came from, how it actually works, what it’s good and bad at, and the one thing nobody selling you a vibe-coding tool will lead with. I write this as someone who vibe codes daily in real client work and gets paid to fix vibe-coded apps when they break — so I’ve seen both ends.

Where the term came from

“Vibe coding” was coined by Andrej Karpathy — a founding member of OpenAI and former director of AI at Tesla — in a post on X in February 2025. His description: a kind of coding where you “fully give in to the vibes, embrace exponentials, and forget that the code even exists”, accepting the AI’s suggestions without reading them closely and just… running the thing.

The phrase caught on because it named a behavior that was already everywhere. By early 2025, models had gotten good enough that you could describe an app and get something runnable back. Karpathy gave that experience a name, and it stuck — it’s now the common label for the whole practice, from a solo founder building an MVP to an engineer letting an agent scaffold a feature.

How vibe coding actually works

Underneath every vibe-coding session is a large language model — Claude, GPT, or Gemini — trained on enormous amounts of code. You give it intent in plain language; it predicts the code most likely to satisfy that intent. The loop looks like this:

1. You describe what you want: “a task app where users log in and see only their own tasks.”
2. The AI generates the code — frontend, database schema, auth wiring, all of it.
3. You run it and look at the result, not usually the code.
4. You correct by prompting: “make the delete button red”, “add due dates”, “it’s broken when I refresh.”

Round and round until it looks right. The defining feature is step 3: you judge the output, not the implementation. That’s what separates vibe coding from traditional programming, where the code is the thing you work on.

The tools that enable this split into two families, and knowing which is which saves a lot of confusion:

Family	What it is	Examples
App builders	Describe an app, get a hosted, working app. Hides the machine.	Lovable, Bolt, v0
AI coding assistants	AI inside a real code editor or terminal. Shows you the machine.	Cursor, Claude Code, Replit, Windsurf

App builders are the purest vibe-coding experience for non-developers. Assistants are for people willing to occasionally see the code. I compare all of them in the vibe coding tools guide.

Vibe coding vs. no-code vs. traditional coding

These get conflated constantly. The clean distinction is what you end up owning:

• No-code (Webflow, Bubble): visual builders with fixed blocks. Fast, but you’re locked into the platform’s runtime — there’s no portable source code to take elsewhere.
• Vibe coding (Lovable, Cursor): the AI writes real source code — usually a standard React/Next.js/Flutter project. You own it, can host it anywhere, and can hand it to any developer.
• Traditional coding: you write the code yourself.

Vibe coding sits in the middle: the accessibility of no-code with the ownership of real code. That combination is exactly why it exploded — and exactly why it’s dangerous, because you own production code you may not be able to read.

What vibe coding is genuinely good at

I’m not a skeptic here — this is my daily workflow. Vibe coding is legitimately excellent for:

• Prototypes and MVPs. Going from idea to a clickable, working thing in an afternoon is real, and it used to take a week.
• Internal tools. A dashboard only your team uses, behind a login, with no sensitive data — vibe code it and move on.
• Learning by doing. Watching an AI build something you described, then asking it to explain each part, is a genuinely good on-ramp to understanding code.
• Unblocking non-developers. Founders can now validate an idea with a real product instead of a Figma mockup. That’s a meaningful shift.

For a solo builder in 2026, the speed is not hype. In my own client work I use Claude Code and Cursor to move several times faster than typing everything by hand, tested by author across production projects.

Where vibe coding breaks — the part nobody leads with

Here’s the uncomfortable mechanic. An LLM writes the code most likely to satisfy your prompt. “Add AI chat to my app” is satisfied by calling the AI provider directly from the browser with the API key included — it works instantly, demos beautifully, and hands your key to every visitor. The model isn’t wrong; your prompt never mentioned attackers.

That pattern repeats across the whole security surface. When I audit vibe-coded apps, the same handful of failures show up again and again:

• Leaked API keys shipped in the browser bundle, spendable by anyone.
• Missing database access rules — with Supabase, the public key can read every table because Row Level Security was never enabled.
• No real error handling — the happy path you demoed works; the failure paths lose data silently.
• No backups, no rollback — one bad prompt from losing everything.

None of this means vibe coding is bad. It means “the demo works” is the midpoint of the project, not the end. The gap between “it works when I click around” and “it survives strangers, load, and the first curious attacker” is real, and closing it is a distinct step that the tools don’t do for you. That step is what the free security checklist and the production audit exist to cover.

Who vibe coding is for

Two groups, and the advice differs:

• Non-developer founders: vibe coding is the fastest way to turn an idea into something real. Use it. Then, before real users trust it with data or money, get the security gaps closed — either by working through the security checklist yourself or having a human audit it.
• Developers and indie hackers: vibe coding is a speed multiplier, not a replacement for judgment. Let it write the boilerplate; keep reviewing the load-bearing parts (auth, payments, data access). The code review workflow is built for exactly this.

Vibe coding is not a fad and it’s not magic. It’s a genuine shift in who can build software, with a genuine catch: the last mile — making it safe — is still on you. Understand that, and it’s one of the most useful skills you can have in 2026.