Dear Vibe Coder: Your App Works. Your Code Is the Problem.
Source: Dev.to
Introduction
I’m going to say the quiet part out loud: your app works. Your demo looks cool. Your code, however, is a nightmare waiting to happen. Before you get mad and quote‑tweet this, breathe.
This is not an anti‑AI rant. I use AI every single day, and you probably should too. If you’re a developer in 2026 and not using AI, you’re already behind. The problem isn’t AI; it’s “vibe coding” culture and how it’s quietly rotting the foundations of real software engineering.
What Is Vibe Coding?
Vibe coding is when:
- You don’t really understand the code.
- You don’t care how it works.
- You trust the output because it feels right.
- When it breaks, you regenerate it until it stops screaming.
It’s coding by vibes, prompts, and blind optimism. It looks incredible on social media:
“Built a SaaS in 48 hours with GPT 🚀🔥”
What you don’t see:
- No tests
- No error handling
- No mental model
- No chance of maintaining it six months later
That’s not engineering. That’s content creation with a compiler attached.
Why It’s a Problem
Bad developers existed long before AI. What AI did was remove the friction that used to expose them.
Before AI:
- If you didn’t understand async, you were stuck.
- If you didn’t understand state, your app broke.
- If you didn’t understand databases, production punished you immediately.
Now:
- The app works.
- The understanding never arrived.
Vibe‑coded apps don’t fail on day one; they fail when:
- Traffic grows
- Requirements change
- The AI suggestion is almost right
- Someone else has to read the code
- You have to read your own code three months later
Teams waste weeks untangling AI‑generated spaghetti because nobody understood the logic, including the person who shipped it. And guess who gets blamed? Not the vibes, not the tool—the developer.
Engineering vs Minimum Viability
Working is the minimum requirement, not the goal. Engineering is about:
- Predictability
- Maintainability
- Tradeoffs
- Understanding failure modes
If your entire strategy is “the AI will fix it,” you’re not building software; you’re gambling with extra steps.
Proper Use of AI
AI should:
- Speed you up
- Reduce boilerplate
- Help you explore solutions
- Catch obvious mistakes
AI should not:
- Replace your mental model
- Decide architecture for you
- Debug systems you don’t understand
- Be the only reason your app works
The best developers right now aren’t vibe coders; they’re AI‑augmented engineers. That difference matters more than ever.
What Employers Want
New developers see vibe coding and think, “Oh, this is how professionals work now,” so they skip fundamentals, debugging, and learning how systems actually behave. When they hit the job market, companies aren’t hiring vibe coders. They’re hiring people who can:
- Read ugly legacy code
- Debug production issues
- Explain why something broke
- Fix problems without regenerating the universe
That’s why junior developers feel stuck, why “entry‑level” roles ask for 3–5 years of experience, and why vibe coding hurts the people who need guidance the most.
Call to Action
If this article makes you angry, sit with that feeling for a second. Deep down, most vibe coders already know the truth: they’re shipping faster but understanding less. They’re productive today, fragile tomorrow. They look senior on Twitter and junior in real codebases.
You don’t need to quit AI, and you don’t need to write assembly by candlelight either. You just need to care:
- About how things work
- About reading code
- About fundamentals
- About the people who will inherit your mess
AI didn’t ruin programming. Vibe coding didn’t either. Pretending vibes are a substitute for understanding will.
Use AI. Ship fast. Build cool things. Just don’t confuse speed with skill. Please, for the sake of every future teammate, learn the basics. Your app depends on it. Your career depends on it. And so does the industry you’re trying to join.
Conclusion
So… be honest.
- Are you vibe coding?
- Or are you actually engineering?
Let’s argue in the comments.