You describe a product in plain language. An AI creates the files. You open the result and say, “Make the button smaller,” or “The list does not refresh.” A few conversations later, the idea has become a working website.
This loop is called vibe coding. This guide explains the term, the basic workflow, and where it helps. A separate guide explains when an AI-built app needs stronger review before real customers use it.
What does “vibe coding” mean?
AI researcher Andrej Karpathy introduced the term in February 2025. He described a loose way to build. Tell AI what to change in everyday language. Try the result without reading much of the code. Paste the error back when something breaks.
Karpathy's original post described a workflow guided by what appears on the screen. Merriam-Webster now uses a broader definition: using AI to generate code.
Vibe coding means telling AI what you want, trying what it creates, and describing what should change. You guide the visible result instead of editing each line yourself.
How is it different from AI-assisted development?
A developer may ask AI to change a feature, then review every edit and test the result. That is AI-assisted development. Vibe coding gives more control to the visible result and less attention to the code underneath.
| Area | Vibe coding | AI-assisted development |
|---|---|---|
| Main focus | What appears on the screen | The result and the system behind it |
| Review | Little code inspection | Changes are reviewed and explained |
| Checks | Try it and react | Test the main flow and failure cases |
| Best fit | Experiments and personal tools | Products that other people rely on |
These approaches are not enemies. A quick experiment can start as vibe coding. It can move into a more careful process when the idea proves useful.
What does the workflow look like?
- Describe one result. Name the user, their goal, and what should appear on the screen.
- Let AI create a small first version. Keep the scope to one useful journey.
- Run it yourself. Click every control in that journey.
- Report what you saw. Share the exact error or visible mismatch.
- Change one small thing. Check it before asking for the next change.
- Save a working version. Make it easy to return when a later idea goes wrong.
The human still decides what matters and whether the result is good enough. Typing matters less. Judgment matters more.
Why did vibe coding become practical?
- Coding models improved. They can change one feature across several files.
- AI gained tools. Coding agents can inspect files, run an app, and report errors during one task.
- Apps became easier to share. Hosted databases, file storage, and publishing services removed many setup steps.
The term spread quickly. Collins Dictionary named “vibe coding” its 2025 Word of the Year.
Where does vibe coding help most?
- Making an idea visible. A real screen shows what is useful and what should be removed.
- Building a small personal tool. You can automate a task you already understand.
- Testing demand. You can learn whether people want the result before funding a complete product.
- Learning how software behaves. Fast feedback builds intuition about what AI can and cannot do.
When should you move beyond the vibe?
The threshold is simple: another person could lose private data, money, important work, or trust if the app fails. At that point, a successful demo is not enough.
You do not need to stop using AI. You need clearer requirements, review, tests, and a person who owns the result. Use the human-review guide to choose the right level of care.
What should you read next?
- When Does Vibe Coding Need Human Review?
- How to Give Better Instructions to an AI Coding Tool
- I Vibe-Coded an App. Now What?
When you are ready to share the result, the JustDeploy Quickstart shows how an AI can publish it and return a public address.