The Real Cost of Vibe Coding (And When It's Actually Worth It)

Open a vibe-coded SaaS app in Chrome DevTools and there’s a good chance you’ll find at least one API key sitting in the client-side JavaScript. Stripe keys, OpenAI keys, Supabase credentials. They're there because the LLM put them there - it's the fastest way to make things work, and nobody asked it to think about security.

That's one example of a pattern we see constantly when reviewing codebases. The app looks polished. The demo is impressive. Underneath, there's a list of problems that only surface when real people start using it.

The conversation around vibe coding right now splits into two camps. One side says it's the future and you're a dinosaur if you don't adopt it. The other says it's reckless and will destroy the software industry. Both are wrong. Vibe coding is a tool - a genuinely powerful one. The real question is: what are you signing up for when you use it?

We've seen the full spectrum. Startups that saved three months of runway by vibe coding their MVP and getting in front of customers fast. And startups that spent three months after launch unravelling problems that should have been caught before a single user signed up. The difference between those outcomes is almost never talent or luck. It's awareness.

So let's get specific.

What vibe coding actually costs you

When people talk about vibe coding technical debt, they usually wave their hands and say something about "code quality." That's too abstract to be useful. Here's what actually shows up in the codebases we review.

Hardcoded secrets. API keys, database connection strings, Stripe secret keys. LLMs put these directly in the code because that's the fastest path to working software. The model doesn't think about security - it thinks about completing your prompt.

Auth that looks right but isn't. The app has a login page, a signup flow, protected routes. But the actual authorisation check is happening on the client side only. There's nothing stopping someone from hitting your API endpoints directly. The door has a lock on it, but the walls are made of paper.

No rate limiting anywhere. Your app works beautifully when one person uses it. Someone writes a script that hits your endpoint 10,000 times in a minute and there's nothing stopping them. Your cloud bill is the only thing that'll notice.

Payment logic with no idempotency. If you're processing payments and a webhook fires twice (which happens regularly with Stripe), does your app charge the customer twice? In most vibe-coded apps, the answer is yes.

No error handling. The happy path works great. Everything else shows a blank screen or a cryptic stack trace. The LLM built the feature, but it didn't build the failure modes.

These patterns show up over and over in apps built by smart people who moved fast. The problems aren't in the obvious places - they're in the gaps between features, the things that only matter when something goes wrong.

For a deeper dive on preventing these specific issues, we wrote a full guide on how to vibe code without breaking everything later.

When is vibe coding safe?

This comes up a lot, usually from a CTO or founder watching their team use Cursor or Claude and wondering if they should be worried. It depends entirely on what you're building and where it's going.

Vibe coding is safe when:

• You're prototyping something to test an idea with five people
• You're building internal tools that sit behind your company VPN
• You're making a personal project or a hackathon entry
• The thing you're building doesn't touch real money, real user data, or real infrastructure

Vibe coding is not safe when:

• You're shipping to production with real users and real data
• Your app handles payments, health information, or anything covered by GDPR
• You haven't reviewed the code the LLM generated
• You're treating the prototype as the finished product

The risk is in the gap between "this works on my laptop" and "this is ready for strangers to use." Most vibe-coders skip that gap entirely. They go straight from localhost to production because it looks done.

And that's the trap. A well-prompted LLM will give you something that looks incredibly polished. Beautiful UI, smooth interactions, all the right screens. But looking finished and being production-ready are completely different things. It's like a film set - the buildings look real from the front. Walk around the back and it's plywood and scaffolding.

For a walkthrough of what to look for on the security side, there's a free guide at vibe-check.cloud/guides/vibe-coding-security.

The problems that show up after launch

Some problems only appear under pressure. Your app works perfectly in development. You launch, get some traction, and things start breaking in ways you didn't expect.

It falls over with real traffic. Most vibe-coded apps are built with a single-user mental model. The database queries aren't optimised. There's no caching. There's no connection pooling. Fifty concurrent users and your Supabase free tier starts throwing timeout errors.

You can't debug it. When something breaks in production and you didn't write the code, you're stuck. You paste the error back into the LLM and hope it figures it out. Sometimes it does. Sometimes it makes it worse. Sometimes it fixes one thing and breaks three others. Vibe-coders end up generating more code to fix generated code, and each iteration makes the codebase harder to understand.

You can't hire someone to maintain it. If your vibe-coded MVP works and you get funding, the first developer you hire is going to open the codebase and have questions. Lots of questions. Senior engineers brought in to "take over" a vibe-coded app regularly recommend rewriting from scratch. That's not always the right call, but it tells you something about the state of what they found.

The architecture doesn't exist. LLMs generate code file by file, prompt by prompt. They don't think about system architecture because you didn't ask them to. So you end up with business logic scattered across API routes, frontend components, and database triggers. Scaling a feature means touching twelve files and hoping you found them all.

Dependencies are a mess. The LLM picked whichever npm packages it was trained on. Some are outdated. Some have known vulnerabilities. Some are abandoned. You've got 200 dependencies and no idea which ones actually matter.

These are the vibe coding risks that don't show up in the demo video. They show up three months later when you're trying to add a feature and can't figure out how anything connects.

When vibe coding is actually worth it

We've been blunt about the problems. So let's be equally clear about where vibe coding is brilliant, because it genuinely is.

MVP validation. If you need to test whether anyone cares about your idea before you spend six months building it properly, vibe coding is perfect. Get something in front of real users in a weekend. Watch how they use it. Collect feedback. If nobody wants it, you've lost a weekend instead of a quarter.

Hackathons and demos. Speed is the whole point. Nobody is auditing your hackathon project for SQL injection. Ship fast, impress people, worry about production later.

Internal dashboards and tools. If it's behind your company login, used by ten people who all work with you, and doesn't handle customer data, go for it. We've built internal tools this way at Hypership and they've been genuinely useful for months.

Prototyping interactions. Want to test whether a particular UX flow feels right before you build it properly? Vibe code it. Show it to users. Get the feel right, then build it for real.

Learning. If you're a founder learning to understand what your technical team does, vibe coding is an incredible way to build intuition for how software works. You won't become an engineer, but you'll ask much better questions.

Vibe coding works fantastically when the cost of failure is low and the value of speed is high. It gets dangerous when you flip those around.

What to do before you ship

We don't think you should stop vibe coding. We think you should stop shipping vibe-coded apps without checking them first. Those are very different statements.

A practical checklist:

1. Search your codebase for secrets. Grep for "sk-", "key", "secret", "password", any string that looks like a token. Move everything to environment variables. This takes twenty minutes and could save you thousands.
2. Check your auth from the API side. Open Postman or curl your own API endpoints without a valid token. If they return data, your auth is broken. Doesn't matter what the frontend says.
3. Add rate limiting. Even basic rate limiting on your API endpoints will prevent the most obvious abuse. Most frameworks have middleware for this.
4. Test with concurrent users. Get a friend to use the app at the same time as you. Better yet, use a simple load testing tool. You'll find out fast if your app can handle more than one person.
5. Review your payment logic. If you handle money, make sure webhooks are idempotent, amounts are validated server-side, and you're handling Stripe's test scenarios.
6. Run a dependency audit. npm audit or the equivalent for your stack. Fix the critical and high severity issues at minimum.
7. Run Vibe Check. We built this at Hypership specifically for this problem. It scans your codebase for exactly the issues described in this post - hardcoded secrets, auth problems, missing error handling, dependency vulnerabilities. Takes about two minutes and gives you a clear report of what to fix before you ship.

You can check out Vibe Check on our product page or go straight to vibe-check.cloud and scan your project now.

If your scan comes back with more red than green and you're not sure how to fix it, that's exactly the kind of thing our agentic engineering services are built for. We work with your codebase - vibe-coded or not - and get it production-ready.

The bottom line

Vibe coding isn't going away. It's going to get better, faster, and more capable. More people are going to build more software this way, and that's genuinely exciting. The barrier to building something useful has never been lower.

But a lower barrier to building also means a lower barrier to shipping something that's not ready. And the cost of shipping something broken is the same whether a human wrote the code or an LLM did.

Vibe code your heart out. Build the thing. Test the idea. Move fast. Just don't skip the part where you check whether it's safe to put in front of people. That part takes an afternoon. Fixing the fallout from skipping it takes months.

Want to check if your vibe-coded app is ready for production? Run a free scan at vibe-check.cloud. Takes two minutes, catches the things that keep founders up at night.