What Is Vibe Coding? (And Why Most Vibe-Coded Apps Aren't Production-Ready)

If you have spent any time online in the last year, you have seen the phrase. Someone "vibe coded" an app over a weekend. A founder shipped a product without writing a line of code. So what is vibe coding actually, why is everyone doing it, and why do so many of these apps fall apart the moment real users show up?

This is the plain-English version — what vibe coding means, the tools behind it, what it is genuinely great at, and the one thing nobody tells you until it is too late: the gap between "it works on my screen" and "it is safe to put real users and real data on it."

What is vibe coding?

Vibe coding is building software by describing what you want to an AI, which writes the code for you. You prompt in plain English — "build me a booking app with logins and Stripe payments" — and the tool generates a working application. You look at the result, react to it, prompt again, and iterate. You are steering by vibes rather than writing each line yourself.

The term was coined by AI researcher Andrej Karpathy in early 2025, and it stuck because it captured something real: for the first time, people who cannot code can produce working software. That is a genuine shift, and the excitement is earned.

The tools behind it

"Vibe coding" is not one product — it is a category. The main players each have a slightly different angle:

• Lovable — generates a full web app (usually React + Supabase) from prompts. Popular with non-technical founders.
• Bolt.new — in-browser app generation, strong for getting a React prototype live fast.
• Replit — an end-to-end environment where the AI agent builds, runs, and hosts your app.
• v0 — Vercel's tool, best known for generating polished UI from a description.
• Cursor — an AI-powered code editor aimed at developers who want help, not full automation.
• Bubble, FlutterFlow, Webflow, Glide — no-code platforms. Related, but they build inside their own walls rather than generating code you own.

They all share one trait: they are spectacular at getting you to a working demo, fast.

What vibe coding is genuinely great at

Let us be fair, because the hype has a real core:

• Validating an idea. You can put a clickable, working version of your idea in front of users in an afternoon instead of a month.
• Prototypes and demos. For pitching, fundraising, or testing a concept, a vibe-coded app is more than good enough.
• Internal tools. A small dashboard only your team uses, behind a login, with no sensitive data? Vibe coding is perfect for it.
• Learning and momentum. It removes the blank-page paralysis that kills a lot of good ideas before they start.

If you are at this stage, vibe coding is the right tool. The trouble starts at the next one.

If you've already got real users on a vibe-coded app and something feels off, don't wait for it to break — get a free audit →

Is vibe coding bad?

No. But "is vibe coding bad" is the wrong question. The right one is: is this vibe-coded app ready for the job you are about to give it?

A demo and a product look identical on the screen. The difference is everything you cannot see — and AI generators optimize for the thing you can see ("it works") rather than the things you cannot ("strangers cannot read your users' data, and it will not fall over at 10,000 rows"). The tool is not bad. Shipping a demo as if it were a finished product is.

Where vibe-coded apps break in production

When a vibe-coded app meets real users, the same five gaps show up almost every time:

1. Security is wide open. Database access rules left off, API keys sitting in the browser where anyone can read them, no real authorization. The CVE-2025-48757 incident left 170+ Lovable apps with their databases readable by anyone with the URL. This is the most common and most dangerous gap.
2. No deployment pipeline. No staging, no automated deploys, no rollback. Every change ships by hand and hopes.
3. Errors fail silently. No logging, no monitoring, no alerts. You find out something broke from an angry user, not your own systems.
4. The data model does not scale. Schemas built to make a screen work, with no migrations, constraints, or backups. Fine at 10 rows, broken at 10,000 — usually right when you get traction.
5. Nobody can maintain it. Thousands of lines no human wrote or reviewed, no tests, hard to extend. The prototype that got you here becomes the thing slowing you down.

Is vibe coding production-ready?

The honest answer: the apps usually are not, but they often can be made so — without starting over.

If the core idea is sound and the structure is salvageable, the path to production is a known set of work: close the security holes, move secrets server-side, add monitoring and a real pipeline, firm up the data model. That is typically far cheaper than a rebuild. Only when the foundation genuinely cannot be trusted does a rebuild make sense — and a proper code audit tells you which situation you are in, usually within a couple of days.

This is the part the tools do not do for you, and it is the part that decides whether your app survives contact with real users.

What to do when you have outgrown vibe coding

You will usually know you have hit the wall when one of these is true: you are getting real users (or about to), you are handling anything sensitive (payments, personal data, logins that matter), or you have started fighting the codebase every time you add a feature.

When you are there, you have three honest options:

• Get an audit first. Find out exactly what is exposed and what it would take to fix. Start with a free AI code audit — a written report, no obligation.
• Have a team take it over. Hand the codebase to engineers who take over AI-built apps every month, secure it, and keep shipping — with a clean hand-off to in-house whenever you want it.
• Productionize the whole thing. The full path — security, infrastructure, and real engineering — is what our vibe code to production service is built for.

Vibe coding got you something real, fast. That is genuinely valuable — it is just the first 70%. The last 30%, the part that makes it safe to put your name and your users on, is the part we do every week.