Thousands of Vibe Coded Apps Exposing Sensitive Data!
This is a summary of a video I published on YouTube. You can click on the link below to watch the full video.
The real problem isn’t AI—it’s how people are using it
We’re seeing a wave of AI-generated apps leaking sensitive data, breaking basic security rules, and generally making a mess of things. That shouldn’t surprise anyone who’s been around software for a while.
When you ask AI to “build me an app,” you’re skipping the thinking step. And that’s where things go wrong. The result is bloated, tangled code with no structure, no separation of concerns, and no clear boundaries. Fixing that after the fact costs more time than doing it right in the first place.
AI doesn’t replace judgment. It amplifies whatever level of judgment you bring to it.
Garbage structure in, garbage system out
If you don’t understand how to break a system into parts, you’re going to get a monolith full of hidden problems. Authentication gets mixed with database logic. Queries are written without safeguards. Sensitive data ends up exposed.
The fix is not complicated, but it does require discipline. You guide the AI step by step:
- Define the authentication layer separately
- Design database access with clear rules
- Specify how queries are handled, including prepared statements
- Keep components isolated and predictable
Do that, and the code becomes manageable. Skip it, and you’re stuck babysitting a fragile system that breaks under pressure.
We’ve seen this movie before
This idea that tools will eliminate developers isn’t new. I saw it with FrontPage. I saw it with Dreamweaver extensions that promised full database apps without coding. They worked—up to a point. Then they hit a wall.
AI is more capable than those tools, no question. But the limitation hasn’t changed: if you don’t understand systems, the tool can’t save you.
I’ve even seen businesses hand everything over to AI and remove developers entirely. In one case, it ended with a corrupted database and a lot of regret. That’s not an edge case anymore—we’re starting to see it at scale.
What AI actually does for developers
Used properly, AI makes small teams incredibly effective. It speeds up implementation, helps with debugging, and reduces the grunt work. You can build more with fewer people.
But it doesn’t decide architecture for you. It doesn’t understand your business rules unless you do. And it won’t magically enforce good design.
It’s closer to having a very fast junior developer than a senior engineer.
The takeaway
If you’re relying on AI without understanding fundamentals, you’re building on sand. It might look fine at first, but it won’t hold.
Learn how systems fit together. Learn how to separate concerns. Learn how data flows through an application. Then use AI to move faster on top of that foundation.
Same lesson as always: tools come and go, but solid engineering thinking sticks. If you get that part right, you’ll be fine—no matter what the trend of the moment happens to be.
Watch the video on YouTube here 👉 Thousands of Vibe Coded Apps Exposing Sensitive Data!
Thanks for reading!
Stef