6 Things Vibe-Coded Apps Get Wrong Before They Hit Production
You shipped. Congrats. Now here's what's probably broken.
I've been watching a pattern play out. A founder uses Lovable, Bolt, or one of the other AI builders to go from idea to working app in a weekend. It looks great. It demos well. Someone says they'll pay for it.
Then they go to production, and things start breaking in ways they didn't see coming.
This isn't a knock on vibe coding. I think it's one of the most important shifts in how founders build. But there's a gap — a real one — between "it works in the demo" and "it's ready for strangers." Most people don't find out about that gap until a real user finds it for them.
Here's what that gap usually looks like.
Mistake 1: Authentication that's really just a login screen
People treat auth as "the bit where you enter your email and password." That's not auth, that's a form. Real authentication is about who can see what, and who can do what, at every layer of the app. Most AI-generated apps get the login screen right and the access control completely wrong. In a B2B context, this often means one customer's data is technically accessible to another. Not because of a bug. Because nobody told the AI to think about it.
Mistake 2: Security and compliance as an afterthought
AI builders are optimized to make things work, not to make things safe. API keys end up in places they shouldn't. Data isn't encrypted the way it needs to be. GDPR, SOC 2, basic data hygiene, none of it gets considered during the build. If you're selling to enterprise, or handling any personal data at all, this will come up. Better to find it before your first big customer's security team does.
Mistake 3: Multi-tenancy built on assumptions
In any B2B product, different customers need to stay isolated from each other, at the data level, not just the UI level. AI builders don't think about tenant architecture by default. They build something that works for one user, and then you layer more users on top and hope it holds. It usually doesn't. This one requires deliberate design decisions that no amount of prompting will handle for you.
Mistake 4: Only testing the happy path
Founders test their app the way they built it, optimistically. You enter valid data, click the right buttons, and everything works. Real users don't do that. They hit back at the wrong moment. They submit incomplete forms. They lose internet mid-transaction. What happens when something goes wrong? If the answer is "nothing visible" that's actually the worst answer. Silent failures are the hardest to debug and the fastest way to lose user trust.
Mistake 5: Pushing directly to production
The AI builds something. It looks right. You hit publish. That's the entire deployment process. No staging environment. No version control. No way to roll back if something breaks. This works fine when you're the only user. The moment you have real users, you're one bad prompt away from taking down production. It's not about being technical, it's about having a buffer between "I changed something" and "that change is now live."
Mistake 6: No testing, including for AI behavior
If your app has any AI component, a chatbot, a recommendation engine, a content generator, etc, you need to think about what happens when it misbehaves. What does it say when someone tries to break it? What happens when it hallucinates? What guardrails exist? Most vibe-coded apps have none. This matters more than most founders realize, especially when you're in a regulated space or when your AI is talking directly to your customers.
Every single one of these is fixable. None of them require you to become a developer. They do require you to bring in someone who can audit the build before real users start depending on it.
The cost of finding these issues before launch is a few weeks and some engineering time. The cost of finding them after is usually much higher and much more public.
Build fast. Just land the plane properly before you let passengers on.
