Frank
Is vibe coding actually dangerous, or are people just being dramatic?
Both. Depending on what you’re building, in what order, and whether you actually understand what got generated for you. That’s the honest answer, and it took me building a few things the wrong way to fully believe it.
Let me be specific about what I mean, because I don’t want to write another hot take about AI slop. I’m talking about something more personal than that.
I Am Exactly Who Vibe Coding Was Made For
Self-taught. Beginner to intermediate coder. Someone who knows what he wants to build but doesn’t always know the cleanest way to get there. Someone whose brain lights up when a new idea hits and immediately starts looking for the fastest possible path from concept to working thing.
That is me, word for word. And when AI-assisted coding clicked for the first time, it felt like someone finally gave me the keys. I could describe what I wanted, get scaffolding back in seconds, iterate fast, and actually ship things that worked.
I built HookHouse-Pro this way. A full React and TypeScript AI music workstation, multiple API integrations, a prompt diagnostic engine, genre-specific generators, a full server admin section. Not a toy. Not a weekend experiment. A real tool I actually use.
So I’m not here to tell you vibe coding doesn’t work. It clearly does. The problem is more subtle than that, and it caught me in ways I didn’t expect.
The 80% Is Seductive Because It’s Real
Here’s what nobody tells you: the dangerous part of vibe coding isn’t the bad output. It’s the good output.
When the AI generates something that works, you feel capable. You feel like you understand it. You’re looking at functional code doing exactly what you asked, and your brain registers that as a win and moves on. The novelty reward hits. Next feature. Next problem. Keep building.
That feeling is not the same as actually understanding what’s running.
I’ve caught myself staring at a working component with genuine satisfaction, then realizing ten minutes later that I couldn’t explain what one specific function in it was doing or why it was structured that way. It worked. But I had accepted it the way you accept a car that starts every morning, with no real knowledge of what’s happening under the hood.
That’s fine until it isn’t. And the moment it stops being fine, the gap in your understanding becomes a real problem.
The 20% Doesn’t Announce Itself
The failure mode isn’t dramatic. There’s no explosion. What happens is quieter and more frustrating.
You go to modify something that was generated for you. You change one piece and something else breaks. You ask the AI to fix the new break and it introduces a dependency you didn’t have before. You fix that and now there’s a state management issue that wasn’t there yesterday. You’ve been in the same function for three hours and you’re not sure anymore what the original intention was.
That’s the trap. Not bad code, exactly. More like code you can’t navigate with confidence because you never fully owned the structure of it.
I’ve had this happen with authentication flows in my projects. Works perfectly when the AI writes it. Then you need to extend it for a new use case, and suddenly you’re untangling logic you half-understand, trying not to break what’s already working. The frustration isn’t technical, it’s personal. Because you realize the thing you built is partially a black box, and you own it.
What Changes When the Stakes Go Up
Prototypes are forgiving. If something breaks in a prototype, the cost is time. You rebuild, you learn, you move on.
But when something is in actual use, the math changes entirely. I’ve got HomeBase running as my homelab asset tracker. I’ve got Crumble managing my recipe collection. These aren’t projects I’m demoing. They’re tools I depend on. When something goes sideways in one of those, it’s not a learning exercise. It’s a problem I need to solve right now.
That distinction matters more than people talk about. A vibe-coded prototype that’s buggy is a rough draft. A vibe-coded app in production that breaks when you try to update it is a liability you built yourself.
This is where I’ve landed: the further something is from “just me messing around,” the more I need to actually understand every layer of it. Not because the AI can’t generate good code, but because I’m the one who has to maintain it, extend it, and fix it at 11pm when it stops working.
The Thing I Had to Change About My Own Process
My brain wants to automate everything and skip the slow parts. That instinct is genuinely useful in IT, where you can script yourself out of repetitive work and move faster. In coding, it gets you into trouble.
I had to force myself to slow down at specific checkpoints. Not constantly, but at the moments that matter: when authentication is involved, when data is being written to disk, when something is going to be accessed by more than just me. Those are the places where I stop, read every line, and make sure I can explain it out loud.
Not because the AI made a mistake. Sometimes because it generated something that was fine for a different use case than mine. The code was correct; the assumptions were off.
That’s a nuance that gets lost in the vibe coding discourse, which tends to be either “AI is going to replace developers” or “vibe coding is a joke.” The real situation is that generated code reflects assumptions, and those assumptions may or may not match your actual requirements. That’s not an AI failure. That’s just how code works, and it’s your job to check.
Where I Actually Land on This
Vibe coding is a genuine accelerator for people like me. It lowered the barrier to building real tools, and the things I’ve shipped because of it are things I’m proud of. I’m not taking that back.
But it doesn’t lower the cost of ownership. It shifts it. You spend less time writing the initial code and more time understanding it well enough to trust it. If you skip that second part, you don’t have a project. You have a dependency you can’t maintain.
Build fast. Build experimentally. Let the AI do the heavy lifting on the scaffolding. But before anything goes from prototype to something you actually rely on, own it. Read it. Break it on purpose and fix it yourself at least once.
You don’t have to be an expert. You just have to know what you’re holding.
