Vibe coding is building software by telling an AI what you want instead of writing the code yourself. You describe the app in plain English. Tools like Cursor, Bolt, Lovable, Replit, and v0 generate the code for you.
Andrej Karpathy coined the term in February 2025. He described it as "fully giving in to the vibes" and letting AI handle the code while you focus on what the app should do. Collins Dictionary named it the Word of the Year for 2025.
And it's not a toy anymore. People are shipping real products this way. SaaS apps, marketplaces, internal tools, landing pages. Some of them making real revenue. But vibe coding comes with a very specific set of problems that traditional developers don't hit.
How Vibe Coding Actually Works
You open an AI coding tool. You type something like "build me a todo app with authentication, a Postgres database, and deploy it to Vercel." The AI generates a full codebase. React frontend, API routes, database schema, auth flow. Sometimes it even deploys it for you.
Here's what's popular right now:
Cursor is a code editor with AI built in. You write prompts alongside your code and it generates or modifies files. Best for people who know some code and want AI as a copilot.
Bolt (bolt.new) generates full apps from a prompt in the browser. No local setup needed. Click a button and you've got a running app. Best for non-technical founders who want something fast.
Lovable is similar to Bolt but the design quality is noticeably better. Cleaner UI out of the box. Popular with people building customer-facing apps.
Replit has an AI agent that builds and deploys apps in their cloud IDE. Good for prototyping.
v0 by Vercel generates React components from prompts. More focused on UI than full apps.
The workflow is surprisingly fast. You can go from zero to a deployed app in an afternoon. That's not hype. I've watched people do it. The first 80% happens in an hour.
The 80/20 Problem
Here's where it gets real.
The AI gets you to 80% fast. Then the last 20% takes longer than the first 80%.
You hit a bug. You paste the error back into the AI. It tries a fix. The fix breaks something else. You paste that error. It reverts the first fix. Now you're going in circles. Three hours pass and you're further from working than when you started.
Sound familiar? This is the universal vibe coding experience. Doesn't matter which tool you use. The AI is great at generating code from scratch but struggles with debugging its own output in context.
The bugs that trip people up most:
- Auth redirect loops after deploying. Works in preview, infinite redirects in production.
- Database connection failures. The AI generates a connection string for local dev that doesn't work in production.
- Hydration mismatches in React/Next.js. The server-rendered HTML doesn't match what the client renders.
- Environment variable issues. Missing or misconfigured env vars that the AI assumed would exist.
- Payment integration failures. Webhook signatures that don't verify, test/live mode confusion.
These aren't edge cases. After triaging 200+ bug reports from vibe coders, these same 5 categories cover about 70% of all issues.
Who is Vibe Coding For?
Three main groups.
Non-technical founders who have a product idea but can't code. Before vibe coding, their options were hiring a developer ($5K to $50K) or learning to code (months). Now they can build an MVP in a weekend.
Developers who want to move faster. Plenty of experienced devs use Cursor to generate boilerplate, write tests, or scaffold new features. They know code but don't want to type it all.
Indie hackers and side project builders. People who want to ship fast, validate ideas, and don't need enterprise-grade code quality. Speed matters more than architecture.
The common thread? They care about the product, not the code.
What Vibe Coding is NOT
It's not no-code. No-code tools like Bubble or Webflow give you a visual builder with limited flexibility. Vibe coding generates actual source code you can read, modify, and deploy anywhere. You own the code.
It's not pair programming with AI either. Pair programming implies you're writing code together. Vibe coding means you're not writing code at all. You describe, the AI builds.
And it's not a replacement for knowing how software works. The best vibe coders have enough technical intuition to know when the AI's output is wrong, even if they can't fix it themselves.
The Debugging Problem (And What to Do About It)
This is the single biggest pain point in vibe coding. The AI that built the code can't always fix it. You end up in a loop:
- Error appears
- Paste error into AI
- AI suggests a fix
- Fix breaks something else
- Repeat
I've watched this pattern play out hundreds of times. Here's what actually works:
Start with the error message, not the symptom. "My app doesn't work" gives the AI nothing. "TypeError: Cannot read properties of undefined (reading 'map') at line 47 in Dashboard.tsx" gives it everything.
Provide the full stack trace. Copy the entire error from the browser console or terminal, not just the first line. The relevant information is usually in the middle.
Isolate the problem. If the bug started after a specific change, tell the AI exactly what changed. "This worked before I added authentication" is way more useful than "authentication is broken."
Know when to stop. If the AI has tried 3 different fixes and none work, you're probably dealing with a bug that needs a human developer. The AI's context window is full of failed attempts at this point. It's going to keep suggesting variations of the same wrong approach.
That's exactly why we built VibeFix. When the AI can't fix it, post the bug as a bounty and let a developer who's seen this error before pick it up.
The Future of Vibe Coding
It's moving fast.
A year ago, the generated code was fragile and the tools were limited. Now you can build production apps that handle real users and real payments.
What's changing:
- Better context windows mean AI can reason about larger codebases
- Agent-based coding (Cursor's agent mode, Replit's agent) can run multiple steps on its own
- Specialized models trained on specific frameworks produce fewer bugs
- Community knowledge is growing. Debugging guides, common fix patterns, shared solutions are filling in the gaps
But here's the thing. The tools will keep getting better at the initial generation. The debugging problem is harder to solve because it requires understanding the specific context of YOUR app, YOUR infrastructure, YOUR use case. That's inherently harder than generating code from a prompt.
Vibe coding isn't going away. It's going to become the default way most software gets built. The people who figure out how to handle the debugging gap? They're the ones who actually ship.
Originally published on vibefix.co/blog/what-is-vibe-coding
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