Is Vibe Coding Bad? An Honest Answer

Ask a room of people whether vibe coding is bad and you will start an argument within a minute. One person says it is the future and everyone else is just jealous. Another says it is a recipe for disaster and that anyone who uses it should be ashamed. Both usually speak with great confidence, and both are talking about slightly different things.

I would like to answer the question the way a sensible friend would if you asked over lunch. No slogans. Just what is good about it, what is genuinely risky, and how to tell which situation you are in. By the end, you should be able to decide for your own project, which is more useful than any general verdict.

First, agree on what we are judging

The phrase gets used in two ways, and half the arguments are people talking past each other.

In the narrow sense, vibe coding means asking an AI to write software and then accepting the result without really reading or understanding the code. You judge only by whether it seems to work. In the broad sense, people use the phrase for any use of AI while building software, including careful work where a skilled person reviews every change.

Using AI carefully, and staying responsible for what it produces, is now an ordinary part of how many people work, and I cannot see a serious objection to it. So when I ask whether vibe coding is bad, I mean the narrow sense: shipping things you do not understand.

What is genuinely good about it

It would be unfair to skip this. Something real has changed, and people who dismiss it are missing it.

It lets ordinary people build things. A shop owner can make a tool that fits how she actually works. A teacher can build a small quiz page. A community group can set up a sign-up form without paying for a developer they cannot afford. That is a real widening of who gets to make software, and it deserves credit.

It makes prototypes cheap. In the past, testing an idea meant spending real money before you knew whether anyone wanted it. Now you can put a working version in front of ten customers in a weekend. Bad ideas die cheaply, and good ones get a faster start. That alone is a big improvement.

It is a good way to learn. Seeing a working thing appear, and then poking at how it works, teaches some people faster than a textbook.

It removes drudgery. Even experienced developers use it to skip tedious parts, which frees them to think about the harder ones.

Where the real risks are

Now the other side. I will go through the risks one at a time, because a vague sense of unease is less useful than a specific worry you can do something about.

Security

This is the one I would take most seriously. When code is written by an AI and never inspected, nobody has checked that it protects people's information. A login screen looks reassuring, but a login screen is only the front door. What matters is who can reach what behind it. It is entirely possible for an app to look secure and still allow one user to view another's details, purely because a hidden setting was wrong.

For a private tool used by three colleagues, that is a small worry. For an app holding customers' personal information or taking payments, it is a big one, because the people harmed are not you. They are your customers, and they will remember who let them down.

Things that break and stay broken

An AI can fix one problem and cause another. Over weeks, a project built by many small instructions can become a tangle that nobody fully understands. When something goes wrong, you are stuck debugging a system you never really met. This costs you time, and sometimes it costs you the project.

Maintenance

Software is not finished when you publish it. Outside services change, features are requested, and things need updating. If nobody understands the code, every change is a gamble. That is manageable for something with a short life, and a serious problem for something you hope to run for years.

The confidence problem

AI tools rarely say "I am not sure". They tell you a thing works, and they say it in the same calm tone whether it does or not. You can end up trusting output you should have questioned. The remedy is simply to test everything yourself instead of believing the announcement.

Real costs that creep up

Many tools charge by usage, so the phase where you are most frustrated is also the phase that costs the most. And a project that was cheap to create can be expensive to repair. That is not a reason to avoid it, but it is a reason to plan for it.

Learning less than you think

If you never look at what the AI writes, you can build a lot without learning how any of it works. That is fine if your goal is a working tool. It is less fine if your goal is to become a developer, or if you may someday need to fix it yourself. It is a choice, and it helps to make it deliberately.

So which is it? A test you can apply

Instead of a verdict, here is a quick test. Ask four questions about your specific project.

Who gets hurt if this fails? Only you, or other people?
What does it hold? Nothing sensitive, or personal details, or money?
How long must it last? A few weeks or several years?
Can someone competent check it? You, a friend, or a professional?

If the answers are "only me", "nothing sensitive", "a short time" and "it hardly matters", vibe coding is a perfectly good tool, and I would encourage you to enjoy it. If the answers involve customers, personal data, money or a long life, then it is not bad in itself, but it needs a human in the loop, someone who can read what was built and take responsibility for it.

Three imagined projects

A personal budget tracker for your own use. Fine. Go wild. If it breaks, you lose an afternoon.

A booking page for a small clinic. More serious. It will hold patients' names and phone numbers, and possibly the reason for their visit. Use AI to help, but have someone who understands security check how the information is protected before it goes live.

An app where people keep a balance and pay for services. Not a place for unchecked generated code. Money, accounts and other people's trust are involved. Use a proven platform, or a developer who takes responsibility, or at minimum a thorough independent review.

What sensible people do

The people who use these tools well tend to share a few habits, and none is difficult.

They match their level of care to the stakes.
They test with two accounts, so they know one person cannot see another's information.
They keep a copy of every working version, so mistakes can be undone.
They keep the AI away from live data and real money while experimenting.
They own their domain and their code, so they can leave.
They get an independent look before real customers depend on the thing.

The argument about skill

Some of the heat in this debate is really about pride. Professional developers spent years learning a craft, and it can sting to watch someone produce a similar-looking result in an afternoon. Newcomers, meanwhile, feel talked down to when told they are not real builders. Both reactions are human, and neither helps you decide what to do with your own project.

The useful way to see it is that generating code and being responsible for code are different skills. The first has become much easier. The second has not, and it is the one that matters when something goes wrong at midnight, or when a customer asks how their information is protected. You can outsource the first to a machine. The second still needs a person, and it is worth being honest about who that person is going to be.

If you are still unsure after all this, the safest habit is the simplest one: start small, keep real customers out of it until someone has checked it, and only widen the audience as your confidence is earned rather than assumed.

The honest answer

Is vibe coding bad? Not in itself. It is a powerful shortcut with a specific weakness: it lets you build faster than you can check. Used on small, forgiving things, that weakness barely matters. Used on things that people rely on, it is the whole story.

So enjoy it, and respect the stakes. If you have already built something that matters and you are not sure it is safe, our code audit and project rescue service is designed for exactly that moment, and it is far cheaper to hear about a problem from us than from a customer. New to the subject? Start with what vibe coding is, or see how to try it safely in a weekend plan for your first app.