What Is Vibe Coding? What It's Great For, and Where It Breaks

Vibe coding is building software by describing what you want to an AI in plain language, running what it produces, and iterating by feel — often without reading the code at all. If it works, keep going. If it doesn't, describe the problem and let the AI try again.

The term was coined by AI researcher Andrej Karpathy in early 2025, and it stuck because it named something millions of people were suddenly doing. With tools like Lovable, Bolt, v0, Replit, and Claude Code, people who have never written a line of code are shipping real apps.

It's worth being clear-eyed about it: vibe coding is excellent for some things and a trap for others.

What vibe coding is great for

Prototypes. Seeing an idea working in an afternoon — to test it, show it, or decide whether it's worth pursuing — is enormously valuable. Before AI, a prototype took weeks or a developer's budget.

Personal tools. A tracker for your own habits, a script to rename your photos, a dashboard only you use. If it breaks, you're the only one affected.

Internal tools with low stakes. A form for your team, a simple report. Useful, and the audience is forgiving.

Learning. Asking an AI to build something and then asking it to explain what it built is one of the best ways to learn programming ever invented.

Getting unstuck. Even experienced developers vibe-code throwaway experiments and boilerplate.

Where it breaks

The trouble starts when a vibe-coded app meets real users, real data, or real money — because the things that matter most there are the things you can't see by clicking around.

Security. An app can work perfectly and still let anyone read every user's data. AI tools regularly produce apps with secret keys exposed in the browser or databases open to the public. You won't notice by using the app normally; an attacker will. A Security Checklist for Vibe-Coded Apps covers the common holes.

Payments. An app that takes money has to get details right that a demo never tests. (How to Add Stripe Payments Without Getting Burned.)

Growing complexity. Early on, each request adds a feature. Later, each request breaks something else, because neither you nor the AI has a clear picture of how the pieces fit. Many vibe-coded projects hit a wall at a few thousand lines where every fix causes a new bug. (Stuck in an AI Fix Loop?)

Data you can't get back. An AI "cleaning up" a database can delete real customers' data in one command. (How to Stop an AI Agent From Deleting Your Production Database.)

The gap between "works" and "live." A working preview isn't a running product. Domains, hosting, backups, email, and monitoring all still need doing. (You Built an App With AI. Now What?)

Vibe coding responsibly: the middle ground

You don't have to choose between "never touch AI" and "accept everything blindly." A few habits get you most of the benefit with far less risk:

Use git from day one. Save working versions so you can always go back. It's the single biggest safety net. (Git and GitHub for Beginners.)
Ask for plans before big changes, and read them.
Ask the AI to explain its code. You don't have to read every line, but you should understand the shape: where data lives, where secrets are, who can see what.
Keep secrets on the server. Learn this one rule even if you learn nothing else. (Frontend vs Backend.)
Use a separate database for building than the one real users depend on.
Test like a stranger. Log in as two different users and try to see each other's data.
Get a human review before launching anything with users' data or money. An hour of a developer's time is cheap insurance.

Is vibe coding "real" programming?

It's a fair question, and the honest answer is: it's a different skill, and a real one. Describing what you want precisely, noticing when the result is wrong, breaking big problems into small steps, and checking your work are exactly the skills good programmers have always needed. Vibe coding just moves them away from typing syntax.

What it doesn't remove is responsibility. If people trust your app with their data or money, "the AI wrote it" isn't a defence. The more your app matters, the more you need to understand — or have someone check — what it's doing. (Should You Still Learn to Code If AI Writes It?)

The short version

Great for: prototypes, personal tools, learning, low-stakes internal tools.
Risky for: anything with other people's data, money, or trust — unless you add checks.
The middle ground: git, plans, explanations, secrets on the server, separate databases, and a review before launch.

EasySpawn gives vibe-coded apps somewhere solid to live: Claude Code working in an isolated workspace, a separate managed database with daily backups, secrets on the server, and SSL on your own domain. See how it works for AI-built apps or join the waitlist.