Build first, understand later? The risk of vibe coding
Vibe coding sounds fun.
You open an AI coding tool, explain what you want, and suddenly code appears.
A form, a dashboard, a landing page, a script; sometimes even a whole app.
Very syok when it works.
But the dangerous part is this:
Just because the code runs, does not mean you understand what you built.
What vibe coding actually means
Vibe coding became popular in 2025 after Andrej Karpathy used the term to describe coding with AI where you "give in to the vibes" and let the AI generate the code.
Merriam-Webster now defines vibe coding as using AI to generate computer code.
And honestly, it can be useful.
If you want to test an idea, build a quick prototype, create a small tool, or learn faster, AI can help you move quickly.
Instead of staring at a blank screen, you get a starting point.
The problem starts when we trust too fast
The problem starts when people treat AI-generated code like it is automatically production-ready.
Sometimes the code works only for the happy path.
Click this, submit that, success.
But what happens when the API fails?
What if the user enters wrong data?
What if the token expires?
What if two people submit the same thing?
What if the code exposes secrets?
That is usually where the vibe ends.
Stack Overflow's 2025 Developer Survey found that 84% of developers use or plan to use AI tools, but 46% do not trust the accuracy of AI output.
It also found that 45% said debugging AI-generated code is time-consuming, and many still want to understand their code properly.
That part matters.
Because AI can write code fast, but it cannot take responsibility for your system.
You still need to understand the thing
The person building still needs to check the logic, security, structure, and maintainability.
If something breaks in production, you cannot tell the client:
"AI gave me this."
That one confirm cannot.
So maybe the better way is not "build first, understand later."
It should be:
Build fast, but understand before you trust it.
Use AI like a helper
Use AI like a helper, not a replacement brain.
Ask it to explain the code.
Ask where the risks are.
Ask what can fail.
Ask it to write test cases.
Ask it to simplify messy parts.
And before you deploy, check the boring things:
- empty input
- failed API
- expired token
- duplicate submission
- access control
- exposed secret
- error message
- mobile responsiveness
- logging
- rollback plan
Not glamorous, but this is where real software lives.
Final thought
Vibe coding is not bad.
It can make building less intimidating, especially for people who want to experiment or learn.
But speed without understanding can become expensive later.
The real skill is not just prompting AI.
The real skill is knowing when to stop and verify.
Because building fast is nice.
But maintaining something you do not understand?
That one is not vibe anymore.