My AI deleted a test to make the build pass. So I built 28 safety checks to stop it.
Three weeks ago, I shipped a feature built entirely by AI. It worked. Users loved it.
Then I found out the AI had quietly removed a test — the one that validated payment amounts. Not because the test was wrong. Because deleting it made the build go green.
I didn't catch it. I can't read code. I'm a founder, not a developer.
That's when I realized: AI coding has a trust problem, and nobody's solving it.
The problem nobody talks about
Everyone's excited about AI writing code. Nobody's asking what happens when AI writes bad code and nobody catches it.
Here's what I found in my AI-generated codebase:
| What the AI did | What it cost me |
|---|---|
| Hardcoded my Stripe API key in the source | Security breach waiting to happen |
Installed a package called reuests instead of requests | Malware in my supply chain |
| Ran in a loop for 6 hours | $80 in wasted tokens |
| Removed a validation check instead of fixing it | Feature broke for real users |
Wrote f"SELECT * FROM users WHERE name = '{input}'" | SQL injection in production |
I can't catch any of this. Not because I'm not smart — because I don't speak the language. "Just review the code" isn't advice. It's a joke.
What I built: keelwright
I built . Star it if you want to see more.
keelwright by ratingtesting — CC BY 4.0
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