Vibe coding means building software by describing what you want to an AI tool, in plain words, and accepting the code it writes without reading it closely. The term became popular in early 2025. It is great for testing ideas, building prototypes and making small tools for yourself. When strangers, their data or their money are involved, the first version usually needs a careful review and extra work on security, data and payments.
A few years ago, building an app meant learning to code or paying someone who could. Today, you can open a browser, type "a booking app for my yoga classes" and see a working version a few minutes later. This way of building has a name: vibe coding. Many people use it, many people talk about it, and the word means different things to different people. This guide explains it simply, says honestly what it does well, and shows what usually comes next when the first version is a success.
What vibe coding means
Vibe coding is building software by talking to an AI tool. You describe what you want, the tool writes the code, you look at the result and ask for changes. You judge the app by what you see on the screen, not by reading the code behind it. If it looks right and works when you click, you keep going.
The term was made popular by the AI researcher Andrej Karpathy in a post in February 2025. He described a way of working where you follow the flow, accept what the AI suggests, and almost forget that code exists. The word spread fast, and Collins Dictionary chose it as its word of the year for 2025.
The tools come in two kinds. App builders such as Lovable, Bolt, Replit and v0 run in your browser and build the whole app from a chat. Code editors with AI inside, such as Cursor, are made for people who can read code, but they can be used the same way.
One point is often missed. Professional teams also use these tools every day. The difference is not the tool. It is whether a person reads and tests each change before real users depend on it. That is AI-assisted building. Vibe coding is when nobody does.
What vibe coding is great for
Vibe coding is a real step forward, and for some jobs it is the best way to work. It shines when speed matters more than strength:
- Testing an idea. You can show a working version to ten possible customers within days, and learn whether they care, before you spend a real budget.
- Building a prototype. A clickable app says more than a long document. Investors, partners and future users understand the idea at once.
- Small tools for yourself. A calculator for your quotes, a tracker for your stock, a page that cleans up a file every week. If you are the only user, the risks stay small.
- Finding out what you really want. Building a first version forces you to make choices: which screens, which steps, which data. Even if you rebuild later, those choices make a much better brief.
- Trying many designs. You can ask for three versions of a screen and compare them in minutes.
Why the start feels so easy
At the beginning, everything helps you. The app is small, so the AI can keep all of it in view. There is one user, you, who clicks the expected buttons in the expected order. The data is sample data, so nothing is lost if it breaks. Each request adds something visible, and progress feels fast.
This is not an illusion. The first version really is working. It is simply working in the easiest possible conditions. The harder questions only come when other people start to use it.
Where vibe coding usually stops
Most vibe coded apps reach the same limits, in roughly the same order. Not because the tools are bad, but because these are things you have to ask for, and they are invisible in a demo.
- Security. Each user must only see their own data. In many generated apps, the database rules that control this, for example row level security (the rules that say who may read each row), are missing or too open. Secret keys can also end up in code that anyone can read. Our security checklist for an app built with AI lists what to check.
- Data. The structure of the database was invented one request at a time. It works for the first screens, but it may not fit the next ones, and changing it later with real data inside takes care. Backups are often not set up or never tested.
- Payments. A first test payment is easy. A refused card, a refund, a cancelled subscription or a failed renewal is where the real work is.
- Many users. A page that loads fast for one person can slow down or fail when a hundred people arrive after a post on social media.
- Changes that break other parts. The app grows, and each new request touches more files. A fix in one place breaks something somewhere else, and there are no tests (small automatic checks that the app still works) to warn you.
- Nobody knows how it works. When something fails at night, there is no person who understands the code well enough to fix it fast.
We describe what happens when real users arrive in more detail in why AI prototypes break with real users.
The first version proves the idea. The next version has to protect the people who use it.
Signs your first version has reached that point
- Each fix you ask for breaks something that used to work.
- You are afraid to change anything before a demo.
- People you do not know are signing up, or you plan to invite them.
- You take money, or you are about to.
- You cannot say where your users' data is stored, or who can read it.
- A business customer asks how their data is protected, and you do not have a clear answer.
If one or two of these are true, you are not in trouble. You are at the normal next step.
What comes after the first version
The path from a vibe coded first version to a product people can rely on usually looks like this:
- 1. Decide what the app is now. Is it still a test to learn from, or a product for real customers? A test can stay as it is. A product needs the steps below.
- 2. Put everything in your name. The code in your own GitHub account (the service where code is stored), and the database, the hosting and the domain in accounts you own.
- 3. Stop adding features for a moment. Every feature added on a weak base makes the cleanup bigger.
- 4. See where you stand. Our free 2-minute launch check shows which basics are still open. Then get the code read by a person, who can tell you what is solid and what only looks finished.
- 5. Fix the foundation in order of risk. Data protection and secret keys first, then logins, payments, backups and error monitoring (a tool that records each error and alerts you).
- 6. Launch small, then grow. Start with a group of users you can talk to, watch what fails, and open up when it holds.
Sometimes the review shows that the foundation will not hold, and part of the app is better rebuilt. That is not a failure: the first version still did its job. Our guide on whether to rebuild or fix a half-built app explains how to decide.
Should you vibe code your idea?
If you want to learn whether an idea is worth more time and money, yes. It is one of the fastest and cheapest ways to find out. Keep it small, keep real customer data out of it at first, and treat the result as a prototype, not a finished product.
You can also keep using AI after the first version. We use AI tools in our own work every day, because they help us build faster. The difference is that every change is read and tested by a person before it reaches users. The AI is fast; someone still has to be responsible for the result.
The bottom line
Vibe coding is building software by describing it to an AI and trusting what it writes. It is excellent for ideas, prototypes and tools you use yourself. When real users, their data and their money arrive, the first version needs a review and a stronger foundation. If you have reached that point, see how we finish AI-built apps for real users.
