Everybody seems to be either celebrating vibe coding as the end of programming or brushing it off as something for people who can’t code. Honestly, both groups are missing the point.
Let’s get this out of the way. Vibe coding; where you type out a description in plain English and let AI turn it into code, is actually pretty powerful. Over the past week, I've built a Portfolio website and put together a small CLI tool this way. But I’ve also seen the AI crank out code so confused and messy, sorting it out would’ve taken way longer than just starting from scratch.
The real difference? It’s never the AI. It’s the person typing out the prompts.
Where it actually works
There are three spots where vibe coding really earns its keep.
First up, prototyping. When you just need to test an idea fast, and the code isn’t meant to last.
Second, boilerplate—those boring bits we all hate, like CRUD routes, config files, test stubs. Stuff that always needs to be done but that nobody likes to write.
Third, unfamiliar territory. When you’re out of your comfort zone in a new language or framework, a snippet you can read and adapt is way better than starting lost.
What ties these together? In every case, you already know what “good” looks like. The AI is a speed booster, not a substitute for thinking things through.
// Good prompt. Specific, constrained, easy to check.
"Write a debounce function in vanilla JS. No dependencies.
Takes a fn and a delay in ms. Returns the debounced version."
// Bad prompt. Way too vague. You’ll never know if it works right.
"Build me an app that handles user input"
Almost all the quality you get is what you put in. The AI hasn’t changed that equation; it just makes bad prompts come back to bite you faster.
Where it falls apart
Everything breaks down when you need architectural judgment; big picture decisions about data flow, structuring state, or splitting up modules. An AI will spit out an answer that sounds confident, but confidence is not correctness, and context matters.
I’ve seen generated code that technically runs but is so badly organized, adding future features means fighting the code every step. If you can’t spot problems like that in a review, you’re not saving time. You’re borrowing it from your future self and you didn’t sign up for that.
Vibe coding is like autocomplete, just ten times bigger. It won’t replace knowing how to code. It just helps you code faster, but only if you already know where you’re headed.
The part nobody says out loud
The ones most likely to get hurt by vibe coding aren’t senior developers. It’s the juniors. It’s those who use AI as a shortcut to skip learning the basics. If you let the AI do all the work, you never understand why your code works. When something breaks in production and it will; you will have nothing to fall back on.
The folks who benefit from these tools are already good enough to judge what comes back, fix things when the output isn’t right, and know when it’s time to just shut down the AI and do it themselves. That’s a pretty high threshold.
So where does vibe coding land as a practice?
It’s going to make the jump from idea to working prototype way faster than it used to be. Some kinds of development will feel almost frictionless. That’s honestly pretty exciting.
But the craft underneath. Building solid systems that others can read, keeping them from collapsing six months down the road; still needs someone who actually gets what they’re making. There’s no prompt that fixes muddled thinking.
Use these tools. Just don’t hand over your judgment along with your typing.
