An operations manager putting together a reporting tool with Claude or Lovable on a Friday afternoon: unthinkable until recently, now a familiar scene. Vibe coding, having AI generate software from a plain-language description, has significantly lowered the bar for building something that works.
For anyone who decides on software, the interesting question isn’t whether this changes the profession, but what exactly is shifting and what stays the same. That distinction determines whether a vibe-coded prototype is a cheap way to test an idea, or a risk that grows unnoticed.
The barrier disappears, the requirements don’t
The biggest shift is who can build software. A marketer, planner or business owner describes what they need and gets a working first version back. Knowledge of your own process becomes more valuable than knowledge of a programming language: whoever is closest to the challenge can now sketch out a solution themselves, without a briefing and without a queue.
What doesn’t move with it: the requirements serious software has to meet. AI tools optimise for output that runs, not for security, maintainability or scalability. Working software and production-ready software are two different things, and you can’t tell the difference from the outside.
Testing an idea takes an afternoon
Where a prototype used to take weeks of design and build work, something clickable is now on the table within a day. The feedback cycle gets shorter and a failed concept costs almost nothing. That makes vibe coding an excellent tool for exploration: putting an idea in front of users, a demo for senior management, a throwaway tool for a one-off job.
The line is easy to draw: as long as no customer data is involved and no process depends on it, the risk stays low and the learning is worth it. If you’re not sure whether your situation lends itself to this, take a look at the signs that vibe coding suits your project.
The risks move under the bonnet
AI-generated code regularly contains classic mistakes: insecure authentication, API keys sitting in plain text in the code, outdated or vulnerable packages. An application that clicks smoothly and looks polished can be fundamentally insecure underneath. Those flaws usually only surface at the worst possible moment, once users and data are already involved.
Then there’s maintainability. No one made the choices in the code deliberately, so no one can explain them. Anyone who wants to change something six months later finds a codebase with no coherence and no documentation. The prototype was cheap; you pay for the lack of structure later.
The work shifts from writing code to reviewing it
Developers aren’t becoming redundant, but their focus is shifting: less time typing lines, more time judging what an AI proposes. Is the architecture sound, is this secure, will it hold up as things grow. We work AI-assisted ourselves and see the gain in speed, but an engineer always reviews every change before it goes into production. Pure vibe coding, generating without anyone with the right expertise checking it, doesn’t, in our experience, produce software you’d trust an organisation to run on.
The moment a prototype turns serious
The tipping point is rarely a deliberate decision. A tool that started out for personal use turns out one day to be indispensable. You can recognise that point by a few signs:
- People outside your own team start using it.
- Customer data starts going into it, or something more sensitive still: personal data or financial information.
- A department relies on it for its day-to-day work.
- It needs to connect to your CRM, accounting software or other systems.
From that point on, the requirements of production software apply, even if it started as an experiment. That might be the real core of what vibe coding changes: not the requirements themselves, but the moment you run into them. They used to sit at the start of a project; now they only show up once something is already running. How our engineers bring that foundation up to standard afterwards, from security to maintainability, is covered under ongoing development and maintenance.