Vibe Coding Is Real, and So Is the Bill That Comes With It
There is a specific moment that happens to almost everyone who tries building software with AI for the first time. You describe what you want. Something appears. It runs. And for about a week, it feels like the hard part of programming just evaporated.
Then a real user does something you didn't anticipate, and the whole thing falls over.
What actually goes wrong
In our experience reviewing AI-generated codebases, the failures cluster into four categories, and they are remarkably consistent.
Security. API keys committed to the repository. Database credentials shipped to the browser. Authorization checks that exist on the page but not on the endpoint behind it, so anyone who knows the URL walks straight in. AI writes the happy path; it rarely writes the guard.
Edge cases. Empty states that crash instead of saying 'nothing here yet'. Forms that submit twice when someone double-clicks. Network failures handled with an error message that says 'undefined'.
Cost. Loops that query the database once per row instead of once per page. API calls made on every keystroke. These don't break anything — they just quietly bankrupt you at scale.
Silent failure. The worst one. A try/catch block with an empty catch. The error happens, nothing is logged, nothing is shown, and the feature simply doesn't work while appearing to.
The skill that actually matters
None of this is an argument against building with AI. We teach it, we use it daily, and it genuinely compresses weeks of work into days.
The argument is about what you do next. The people who ship durable products with AI are the ones who can read what came out, trace a request from a button click to a database row, and say out loud what each part does. The people who ship disasters are the ones who accepted the diff without reading it.
That's the difference between using a tool and being used by one, and it's most of what our Vibe Coding course spends its time on. Module 6 is not about generating code. It's about auditing it.
Where to start
If you're building with AI right now and want a single habit to adopt: before you accept any generated change, read it and narrate what it does. Out loud, to yourself, in plain language. If you can't, don't accept it yet — ask the AI to explain it, then check that the explanation matches the code.
It slows you down by about ten percent. It saves you the rewrite.