The most expensive mistakes in vibe coding are invisible at the moment they happen. An AI-generated tool usually does what it promises at first, and within a few weeks an entire department is relying on it. Only then does it become clear what was wrong from day one: data that’s slightly off, a password sitting in plain sight in the code, a check that was never built. The fault was there all along; only the damage took its time to show.
Vibe coding, letting AI generate code without anyone with real expertise checking it, is a useful tool for exploring an idea. It turns risky the moment such a tool starts handling things that matter: customer data, the accounts, the stock system. You don’t need to be able to read code to stay ahead of these mistakes. You do need to know where they hide.
Why the demo proves nothing
AI tools optimise for working output. They generate code that does what you ask, under the conditions you’ve shown them. What a demo doesn’t show you: whether passwords and API keys are sitting in the code, whether every user can access all the data, and what happens when someone enters something unexpected or a connected system briefly goes down. A professional developer builds safety nets for that as standard. An AI tool only does it if someone asks, and if you don’t know to ask, you won’t get it. The demo shows the route where everything goes right; the mistakes live on every other route.
Integrations are where it goes wrong
As long as a vibe-coded tool stands on its own, the damage stays contained to that tool. That changes the moment it starts exchanging data with the systems your organisation runs on. An integration that writes to your CRM or accounting package without any checks spreads an error quietly through your entire back office. An API key sitting in the code gives anyone who gets hold of that code access to the connected system. And an integration without error handling doesn’t fail gracefully when the connection falters; it keeps running on half the data. We treat data integrations as proper software for that reason: with checks on what gets written, logging of what happened and recovery after an outage. Exactly the parts an AI tool skips on its own.
Draw the line before the prototype outgrows it
Vibe coding is well suited to validating an idea, building a demo for stakeholders, or knocking together a disposable tool for one-off use. It’s not suited to production, to customer data, or to processes your business depends on. That line sounds obvious, yet it’s rarely drawn in advance: a prototype quietly grows into something colleagues rely on every day. A few agreements up front prevent that.
- Treat every vibe-coded prototype as disposable, even when it seems to work well.
- Never put passwords and API keys in the code itself, but in protected environment variables: settings managed outside the code.
- Run prototypes on test data or a copy, never directly against your production systems.
- If a tool touches customer or personal data, have an experienced developer review the code first.
- If a prototype turns serious, it gets rebuilt professionally before it goes live.
AI-assisted development works, pure vibe coding doesn’t
We’re not writing this as sceptics. Our engineers develop AI-assisted themselves and see first-hand how much faster it is. The difference lies in what happens next: every line of generated code gets reviewed, tested and fitted into place by someone who knows the craft. That way you keep the speed of AI while catching the mistakes above before anyone feels them.
Has a prototype in your organisation already grown into something people rely on? Don’t wait for a broken integration or a data leak to make the decision for you. Through ongoing development and maintenance, we turn a promising prototype into solid software: we assess what’s there, rebuild what’s vulnerable and keep what’s worth keeping. Show us your prototype; we’ll tell you honestly whether it’s worth the rework or whether starting again is the smarter move.