What is vibe coding? Meaning, origin and the B2B nuance

Vibe coding is a way of building software in which you describe what you want in plain language, and an AI model automatically generates the code for it. You often accept that code without reading it line by line, adjusting course with follow-up prompts until it works. The term was coined in early 2025 and spread at lightning speed. In this article you will read what vibe coding actually is, where it comes from and when it is or is not a smart move for a B2B company.

What is vibe coding exactly?

Vibe coding is a form of AI-assisted software development in which the developer describes a task or project in a prompt and a large language model, a form of generative AI, generates the source code. What defines it is that you can accept AI-generated code without thorough review: you trust the result and rely on further prompts to steer the adjustments (Wikipedia).

The term was coined on 2 February 2025 by Andrej Karpathy, co-founder of OpenAI and former AI lead at Tesla. He described it as a way of working in which you “fully give in to the vibes” and “forget that the code even exists”: talking to the assistant, accepting changes without reading the diffs, and simply pasting error messages back until they disappear (Wikipedia).

The term caught on enormously. Merriam-Webster added it in March 2025 as a trending expression, and Collins named vibe coding its word of the year 2025 (Wikipedia). That says as much about the hype as it does about the practice.

How does vibe coding work in practice?

The process is iterative and conversational:

• Describe the intent. You say in plain language what you want to build, for example “a page where visitors can request a demo”.
• Let the AI generate. The model produces working code.
• Test and adjust. If something does not work, you paste the error back or ask for a change, without necessarily understanding every line.

For someone with limited programming experience, this lowers the barrier enormously. For experienced developers, it speeds up routine work and prototyping. The downside: you are building on code you do not fully understand, and that has consequences as soon as things get serious.

Where vibe coding and AI visibility meet

Vibe coding makes it easy to throw together a website or tool quickly. That is exactly where a pitfall for visibility lies. A generated site can look good but be structurally shaky: messy HTML, slow loading times, missing structure that AI search engines need to understand your content, which is precisely why AI website builders often score poorly for AI search.

That clashes with the fundamentals of GEO and SEO: a clean, well-considered content architecture for AI extraction in which machines can find and cite your information. Building fast is not the same as building to be found. Anyone who vibe-codes a prototype and puts it live straight away risks a site that sticks with neither customers nor AI. A well-considered GEO approach fixes that.

Honestly: when does vibe coding pay off (and when not) in B2B?

We are level-headed about it. Vibe coding is powerful for part of the work and risky for another part.

Where it does pay off:

• Quick prototypes to make an idea tangible for your team or client.
• Internal experiments and tools that do not touch critical data.
• Learning and exploring what is possible, without immediate production requirements.

Where you need to be careful:

• Production systems with customer data. Code you do not understand can contain security and privacy leaks.
• Anything that has to scale or be maintained. Unchecked code quickly becomes unmanageable.
• Business-critical processes where a mistake hits your revenue or reputation.

Our line is simple: steer on customers and revenue, not on build speed alone. Vibe coding is an accelerator, not a replacement for strategy, review and quality control. In B2B, where one wrong decision can derail a long sales cycle, reliability weighs heavier than pace.

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Frequently asked questions

What does vibe coding mean?

Vibe coding is building software by describing what you want in plain language and letting an AI model generate the code. You often accept that code without checking it line by line and adjust it with follow-up prompts.

Who coined the term vibe coding?

The term was coined on 2 February 2025 by Andrej Karpathy, co-founder of OpenAI, in a post on X. The term went viral and was named word of the year 2025 by Collins.

Is vibe coding suitable for production software?

Careful. For prototypes and internal experiments it is excellent, but for production systems with customer data, scale or business-critical processes, thorough review is indispensable. Code that nobody fully understands is a risk in terms of security and maintenance.

Is vibe coding bad for SEO and AI visibility?

Not by definition, but quickly generated sites often have a messy structure, slow loading times or missing markup that AI search engines need. Without attention to content architecture, you undermine your findability, even if the site works.