---
title: "Vibe coding – what it means and where it's from | Sweet Lava"
description: "Vibe coding means describing the result to an AI tool in plain language and letting it write the code. See where the term came from and what it changes."
url: https://sweetlava.eu/en/glossary/vibe-coding/
lang: en
alternate_pl: https://sweetlava.eu/pl/slownik/vibe-coding/
---

SEO & AI 

# What is Vibe coding?

Vibe coding is a way of building software where you describe the desired result to an AI tool in plain language and it writes the code. The author judges whether the program works instead of reading every line. The term was popularised in 2025 by Andrej Karpathy.

In practice it looks like this: you write "build a sign-up form with e-mail validation", an AI assistant (Claude Code, Cursor, GitHub Copilot) generates the code, you click through the result and ask for corrections. A loop of describing and judging replaces manual programming. A prototype that used to take a week can be ready in an afternoon.

The line runs between prototype and product. For validating an idea, a mock-up with real data or a simple internal tool, vibe coding works brilliantly. Code that handles payments and customer data needs engineering control: a security review, tests and an architecture that can be maintained. Generated code tends to be vulnerable exactly where nobody read it.

**Our practice:** AI tools speed up our daily work on code, but every change passes review by an experienced developer before it reaches production. AI is a tool; the result is the responsibility of a team that knows how to judge generated code.

## Related services

- [ AI integration services → ](https://sweetlava.eu/en/services/ai-integration-services/)
- [ Web applications & SaaS development → ](https://sweetlava.eu/en/services/web-apps-saas/)

## Related articles

AI · 12 June 2026

## [ Implementing AI in a company, step by step – what our own projects taught us ](https://sweetlava.eu/en/blog/ai-implementation-step-by-step/) 

How AI implementation works in practice – from a data audit, through a pilot with a measurable goal, to team enablement. With concrete price ranges and a list of situations where AI isn't worth it.

## Related terms

- [LLM (large language model)](https://sweetlava.eu/en/glossary/llm/)
- [MVP (minimum viable product)](https://sweetlava.eu/en/glossary/mvp/)
- [Prompt & prompt engineering](https://sweetlava.eu/en/glossary/prompt-engineering/)

## Wondering what AI could change in your company?

We implement AI where it makes measurable sense and teach your team to use the tools. We'll also tell you straight when it's not worth it.

[ Get in touch ](https://sweetlava.eu/en/contact/?source=glossary-vibe-coding)