The conference room went silent when the fintech’s CISO pulled up the logs. There, buried in production traffic, sat an endpoint nobody had documented: /api/debug/users. It was leaking customer data with every ping. The engineer who’d committed the module swore he’d only asked GitHub Copilot for a “basic user lookup function.” Somewhere between prompt and pull request, the AI had dreamed up an entire debugging interface — and nobody caught it until a pentester found it three months later.
That incident, which happened at a Series B startup in Austin last spring, isn’t an outlier anymore. It’s a preview of what happens when we let machines write code faster than humans can read it.
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