What Is Vibe Coding? Building Software Without Writing the Code

You have something in your head. A way to track which customer owes what. A booking system that matches how your clinic actually schedules people. A small internal tool that would replace four spreadsheets and a WhatsApp group. And then the same wall every time: you don't write code.

Until recently that left three options. Hire a developer, and find out the quote is larger than the problem. Learn to program, and lose six months to syntax before you get near your own idea. Or drop it, which is what most people do.

Since early 2025 there is a fourth option, and it is the reason this site exists: you describe what you want in ordinary language, and the AI writes the code. The name that stuck for this is vibe coding.

Where the term comes from

Andrej Karpathy — formerly head of AI at Tesla, before that on the founding team at OpenAI — put a name to it in February 2025. He was describing a way of working where you stop reading the code line by line and start steering by intent: you say what you want, you look at what came back, and you say what to change. The code still exists. You are just no longer the one typing it.

That is the whole shift, and it is smaller than the hype around it. You are not being handed a magic box. You are being handed a very fast, very literal junior developer who never gets tired and has no idea what your business is.

How the loop actually works

Traditional development goes: learn a language, memorise its syntax, write the code, debug it. That path is years long and most of it has nothing to do with your problem.

Vibe coding replaces it with a loop:

1. Say what you want. Not "build me an app" — that produces something generic and useless. Closer to: "I need an appointment tracker. Clients pick a date and time, I approve or decline, approved appointments show up on a weekly calendar, and I get a list of tomorrow's bookings each evening."
2. The AI builds it. It creates the files, writes the code, sets up how the data is stored, and tells you how to run it.
3. You look, and you correct. You open the thing and use it. Then: "the weekly view should start on Monday", "a declined appointment should keep the reason", "this list needs to be searchable".
4. Repeat until it is right. The first output is a draft, not a delivery. Real work happens in the fourth and fifth pass, which is exactly the part people quit before reaching.

Notice what is missing from those four steps: "learn Python", "install a framework", "understand what a database index is". The technical work is delegated. The judgment is not.

What people actually build with it

The honest range is wider than a landing page and narrower than "anything":

• Internal tools — customer records, job tracking, approval queues, the dashboard your team currently rebuilds by hand every Monday
• The spreadsheet that outgrew itself — the one file the whole business runs on, that only one person understands, that breaks when two people open it
• Web apps with real users — logins, roles, multiple languages, payment where you need it
• Automations — moving data between systems that were never meant to talk to each other
• Data work — turning exports nobody reads into a report somebody acts on
• Mobile apps — possible, and meaningfully harder than the web; the store review process alone is its own skill

The pattern in almost every case I have worked on: the software already existed. It was just running on paper, memory, group chats and one heroic spreadsheet. Vibe coding does not invent the system. It moves the one you already have somewhere it can survive you being on holiday.

The tools

They are not interchangeable, and the choice matters more than the hype suggests.

Claude Code (Anthropic)

Runs in your terminal and works directly on the files on your own machine. It is the one I teach and use, because it holds up on real projects rather than demos: many files, an existing codebase, work that continues next week. The terminal is intimidating for about a day.

Cursor

An editor with AI built in. Excellent if you already read code, because it assumes you will be reviewing suggestions as you go.

Bolt, Lovable and similar

Browser-based, very fast to a first screen. Good for showing an idea to someone. The limits arrive when the project gets past the demo.

Replit

Everything in the browser, nothing to install. Convenient to start, and you feel the ceiling later.

Where it stops

This is the section most articles on this subject skip, so it is the one worth reading.

• The AI is confidently wrong sometimes. It will produce code that runs and does the wrong thing. Nothing about vibe coding removes your obligation to check the result — which is why "learn to verify" is half of what there is to learn.
• Security-critical and regulated work still needs a professional. If a mistake means leaking patient records or losing money, get it reviewed by someone who does this for a living.
• Large-scale systems are still engineering. Thousands of concurrent users, real infrastructure, uptime you are accountable for: different discipline, different skills.
• The second wall is maintenance. Getting something working is the first wall, and it is the one everyone talks about. The second one shows up a month later: it worked, you changed something, and now a part that used to work doesn't. Building and keeping it alive are two different skills, and the second one is where most self-taught projects quietly die.

I don't have a figure for how much time any of this saves, because for most of this work nobody measured one. What I can say is what changed for people: the thing exists, it runs without them, and they can change it themselves next month.

Who this is for

The people who get the most out of it look surprisingly alike. They are deep in a field that is not software — twenty or thirty years of knowing exactly how the work should go. They have a problem they can describe in detail, because they live inside it. And they are willing to be bad at something for a couple of weeks.

It is a poor fit if you want to hand over a brief and receive finished software. That is an agency, and agencies are a reasonable thing to buy. Vibe coding is the opposite arrangement: you stay in the driver's seat, which means you also stay responsible.

How to start this week

1. Pick something small and real. Not the grand plan — one annoying task you do every week. A first project should be finishable.
2. Pick one tool and stay with it. Switching tools feels like progress and isn't. If you are unsure, start with Claude Code.
3. Learn to ask precisely. Vague instructions get generic software. The skill is describing your own process in enough detail that a stranger could follow it — because that is exactly what you are doing.
4. Expect the fourth attempt to be the good one. Treat it as a conversation, not a command. The people who succeed are the ones who kept correcting.
5. Check everything before you trust it. Run it on fake data first. Try to break it. Find out where it is wrong while it is cheap to be wrong.

The short version

Vibe coding is not a shortcut around thinking. It removes the part of software that was never the interesting part — typing the syntax — and leaves you with the parts that were always the real work: knowing what should happen, saying it clearly, and checking that it did.

If you have carried an idea around for years because you couldn't write the code, the reason not to start is gone.