Vibe coding is changing how software gets built, making prototyping faster and lowering the barrier to entry. But speed comes with trade-offs, including security gaps, hidden technical debt and scaling challenges. Read on to learn all about it: What is Vibe coding? Pros and cons.
You describe what you want. The AI builds it. You iterate by feeling rather than syntax. That’s vibe coding and it’s changing who gets to build software.
A few years ago, “building an app” meant months of learning, a lot of Stack Overflow tabs, and at least one regrettable 3am debugging session. Today you can describe what you want in plain English, watch the AI build it, then have something that looks ready to ship in the afternoon. That shift is significant, and it’s worth talking about honestly.
Vibe coding isn’t a gimmick. For the right use cases, it’s genuinely powerful. But like any accelerant, it amplifies both the good and the bad. Here’s our take.
The case for it.
The most obvious win is speed. Prototypes that would have taken a week can now take an hour. For founders validating ideas, consultants building internal tools, or teams exploring new product directions, that compression of time is genuinely transformative.
There’s also the democratisation angle. Vibe coding lowers the barrier to entry significantly. Designers can prototype their own ideas. Domain experts, a logistics manager, a healthcare analyst, can build tools tailored to their exact needs without waiting months in a dev backlog. That’s a real shift in who gets to participate in building software.
| What works well | What to watch out for |
| Rapid prototyping and idea validation | Hidden technical debt accumulates quickly |
| Lower barrier to entry for non-developers | Security gaps can go unnoticed |
| Faster iteration cycles | Hard to debug code you do not understand |
| Great for internal tools and MVPs | Scales poorly without engineering discipline |
| Reduces boilerplate and setup friction | Over-reliance can blunt your own growth |
The honest risks.
Here’s the thing nobody puts in the headline: vibe coding produces code you often do not fully understand. That’s fine when you’re experimenting. It gets complicated when that experiment becomes a product, and that product gets customers, and suddenly you need to fix a bug at 11pm and you’re staring at a codebase that feels like someone else’s handwriting.
Security is the big quiet risk. AI-generated code can introduce vulnerabilities, not out of malice, but because the model optimises for “working” rather than “safe”. Authentication flows, data handling, API key management: these are areas where getting it subtly wrong has serious consequences. If you’re building anything that touches real user data, someone who understands what they’re reading needs to review it.
Technical debt in vibe-coded projects does not look like normal debt. It looks like everything working fine, right up until it does not. The bill often comes due at the worst possible moment: when you’re trying to scale.
There’s also a compounding problem. Early shortcuts create architectures that are hard to untangle later. A solo founder vibing their way to a product might find, six months in, that adding a new feature requires rewriting half of what they have, because the foundation was never designed, it was generated.
If you vibe and grow, what to consider.
None of this means do not do it. It means do it with eyes open. If you’re building something that matters, here is what we would think about:
- Treat AI-generated code as a first draft, not a finished product. Read it. Understand what it does before you ship it.
- Security is non-negotiable. Get a review, even a lightweight one, on anything handling authentication, payments, or personal data.
- Plan your exit from the prototype. Know at what point you will bring in engineering rigour, and what that looks like.
- Use version control from day one. Even if you are solo. Even if it feels like overkill. It is not.
- Invest in understanding, not just output. The more you learn alongside the AI, the better your prompts and your judgement become.
Vibe coding is a tool. A surprisingly capable one. The builders who get the most from it are not the ones who treat it as magic; they are the ones who stay curious about what it is actually doing.
Trimontium.ai helps teams figure out where AI fits in their work and where it does not. If you’re building something and want a second opinion on your approach, we’re easy to find.
Author: Deborah Holmwood, Client Change & Transformation Partner.
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