You have an idea for an app. You see the problem it would solve every single day. But you can't code – at least not at the level that used to be required. So what do you do? Three years ago, the answer would have been: either find a developer or bury the idea. Today, there's a third option.
Vibe Coding is the term that's been circulating since 2025 – and it pretty accurately describes what I've been doing for the past few months: building software by feeding AI tools with context, direction, and a clear vision of what you want. No traditional programming. No degree required.
What Vibe Coding actually means
The term was coined by Andrej Karpathy – one of the most well-known AI researchers in the world. His description was simple: you give the AI a task, see what comes out, correct it, expand on it. The "vibe" is your intuition for the product. The AI is your tool.
It sounds like No-Code – but it's not. Vibe Coding means you actually produce code. Real code that runs on real infrastructure. The difference is that you don't write it yourself – you develop it together with AI. You understand what's happening. You steer the direction. You make the decisions. But you don't fight with syntax.
My story: Building Tekadio from the classroom
I'm a teacher at a business school (HAK) in Lower Austria. 26 teaching hours per week. That means: exams, corrections, grades – a cycle of inefficiency that has frustrated me for years. At some point, I reached the stage where I didn't want to just talk about it anymore – I wanted to build something.
That's how Tekadio was born – an AI-powered SaaS platform that automatically generates quiz questions for teachers and evaluates answers. My technical starting level? Basic knowledge of HTML and a rough understanding of APIs. No backend experience. No deployment knowledge.
What I did have: a clear picture of the problem, a lot of patience for iterative experimentation, and the right tools. Replit as my development environment. Claude and ChatGPT as my coding partners. That was it.
The tools that make Vibe Coding work
There are now quite a few tools designed for this approach. The ones I use myself:
The real skill isn't operating these tools. The real skill is asking them the right questions. Providing context. Describing errors. Evaluating results. That's learnable – even without a computer science degree.
What you actually need to know
Vibe Coding lowers the barrier to entry massively. But it doesn't eliminate it. Anyone who thinks they can build a complex application with zero understanding will give up frustrated. What you need:
Logical thinking. You need to be able to understand why something isn't working – even if you didn't write the code yourself. Every bug has a cause. AI helps you find it – but you need to know where to look.
Patience for iteration. Things rarely work on the first try. Vibe Coding is a process: build, test, break, fix, keep going. If you give up after the third bug, this approach isn't for you.
Product thinking. This is your real advantage over a pure developer. You know what the product should do. You know the users. You make the decisions that matter.
Where the limits are
I'll be honest: there are tasks where I've hit limits. Complex database architectures, real-time synchronization, advanced security topics – I'm slower than an experienced developer there. Sometimes significantly slower.
But: I built a functioning, real SaaS app. It runs. Users sign up. That would have been unthinkable three years ago – at least not without a co-founder with a programming background or a budget for external developers.
Is Vibe Coding worth it for you?
If you have a concrete idea and are willing to invest time – yes. If you expect to have a finished product with a few prompts in a week – no. The time investment is real. But it's also educational. Today I understand things about software architecture that no course would have taught me – simply because I needed them in practice.
Vibe Coding isn't a trick. It's a new way of working. And it's a good fit for people who have ideas, bring patience for tinkering – and aren't afraid of failing along the way.