AI Built Your App in 10 Minutes. Here's What It Didn't Tell You.

You've seen the demos. Type a sentence, get a working app. And to be clear — the technology is remarkable, we use AI in our own development every day. But there's a gap between "it works in the demo" and "it's safe to run a business on", and that gap is where things have been going wrong for a lot of Australian businesses.

The headlines blame AI. Experienced developers know better.

When a vibe-coded app leaks customer data, the story becomes "AI writes insecure code". That's half true and fully misleading. Security researchers at Veracode tested over 150 AI models and found roughly 45% of AI-generated code contains known vulnerabilities — yet the same research shows the code is almost always syntactically correct. It runs. It looks finished. It demos beautifully.

The problem isn't the AI. It's that since AI exploded, a wave of overnight "AI developers" has appeared — people who can prompt an app into existence but can't read what came back. They ship the first thing that works, and nobody with engineering experience ever looks underneath. That's a development problem, not an AI problem. A professional using the same AI tools reviews every line, tests the edge cases, and fixes the security holes before launch. The tool is the same; the discipline is the difference.

The five problems we find again and again

1. Secret keys visible to every visitor

AI-generated apps routinely put API keys — the passwords to your database and payment systems — in front-end code, where anyone who presses F12 can read them. In the demo, nothing bad happens. In production, it's a matter of time.

2. Prices and permissions decided by the browser

We've audited checkouts where the price charged was whatever the browser sent — meaning a mildly curious customer could pay $1 for anything. Same story with permissions: apps where changing a number in the web address shows you someone else's records.

3. No backups, no monitoring

The AI builds the happy path. It doesn't set up nightly backups, error alerts or uptime monitoring, because nobody asked it to. The first sign of trouble is a customer phoning to say the site's been down all weekend.

4. Unmaintainable code underneath

Research tracking hundreds of millions of code changes shows AI-assisted codebases carry dramatically more duplicated, tangled code than human-reviewed ones. The app works today — but every future change costs more, until eventually a rebuild is cheaper than a fix.

5. It looks done, so nobody checks

This is the trap. A half-built brick wall looks half-built. A half-engineered app looks finished. The polish of the interface says nothing about what's underneath, and non-technical owners have no way to tell the difference — until it matters.

The honest position

Already built something with AI?

You don't need to throw it away — often the bones are good. A professional audit finds what's exposed, fixes what matters, adds backups and monitoring, and finishes the parts the AI couldn't. We offer exactly that as our AI Code Rescue service: audit, harden, finish, maintain. The earlier it happens, the cheaper it is — and it's always cheaper than the breach.