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Vibe coding is not just for developers. It is for every business leader who wants to understand where AI truly accelerates business — and where it only creates the illusion of movement. Here is my honest experience from inside an IT company.
When I first heard the term “vibe coding,” I did not ignore it — I googled it. Andrej Karpathy, one of the co-founders of OpenAI, described an approach where you tell AI what you want to get, and it generates the code. You think about the result, not the syntax.
My first thought was simple:
“Why isn’t my team doing this systematically yet?”
But the second thought came quickly:
“Do I even understand where this helps — and where it can do harm?”
That question is where my real introduction to the topic began.
My business depends on the decisions I make based on understanding — not on trust in trends.
What vibe coding is and why it is not only about code
Vibe coding is a way of working where you describe what you want to get, and AI builds the implementation. Tools like Claude, GitHub Copilot, Cursor, and others make this possible. You iterate through dialogue instead of manually writing every line.
But if you are the CEO of a non-IT company, do not rush to close this article. Because this is what vibe coding already looks like in your business today:
Your marketer asks AI to write a series of email campaign drafts.
Your operations manager generates process templates with Claude.
Your HR manager builds onboarding scripts.
Your finance specialist asks AI to summarize data from spreadsheets.
Even this article was checked by an editor based on Claude.
All of this is vibe coding. Just without the code.
Where we use it and where we don’t
Real experience from our PHP/Laravel, React, and Vue stack.
Works Well
Prototypes and MVPs
Starting a new module is 2–3 times faster. CRUD, the first API layer, and basic UI components.
AI-assisted refactoring
Before every pull request, we run the code through AI review. It catches things a human may miss.
Tests and documentation
The things teams usually postpone “for later.” AI can write a unit test for an existing function in a minute.
Not for AI
Critical business logic
Payments, access rights, data synchronization. Mistakes here are expensive. This is human work.
Architectural decisions
AI does not know that your client may want to scale five times larger in a year. This belongs to the team lead.
Non-standard integrations
Legacy systems and unique APIs. AI generates something that “looks right” — but looking right does not mean it is right.
The trap many CEOs fall into
There is one illusion I often see among CEOs:
“I gave my people ChatGPT and told them to use it — so we have implemented AI.”
That is not implementation. That is hoping for a miracle.
Using vibe coding properly means understanding where AI strengthens people, and where it tries to replace something that should not be replaced. For that, you need people who have already gone through the mistakes, understand the limits of the tool, and can build this culture inside the team. Not a YouTube course. People.
We implemented Claude as our main AI tool. Not because it is trendy, but because in practice, it delivers real results with our stack. But this is not forever: the market is moving, and we are moving with it.
Do not automate chaos. First build order — then strengthen it with AI.
What I Think About This as a CEO
I am not concerned with the question, “Will AI replace developers?” That is a discussion for conferences, not for business.
I care about something else:
Is the team already using tools that make it stronger and faster?
Do we have a culture where the question “How can AI help here?” appears before someone starts doing something manually?
Real transformation is not about tools. It is about an AI-first mindset. And between implementing a tool and changing the way people think, there is the maturity of a team — something you build over years.
That is what interests me.
What about you?
