All the bugs they found

A small personal coding project somehow delivered big main-character energy after its creator revealed that artificial intelligence tools found more than 20 security problems hiding inside it. The project was meant to safely run outside code in a locked-down box, but a few of the bugs reportedly let one program peek into another program’s private stuff—which is exactly the kind of sentence that makes comment sections sit up straight. The post itself is a detailed, nerdy autopsy, but the real fireworks were in the crowd reaction: some readers were impressed that a relatively simple side project could be stress-tested so hard, while others immediately turned the whole thing into a debate about whether AI security tools are the future or just glorified hype machines.

And oh, the shade. One camp praised the write-up as the rare “show your work” example, with clear explanations, proof, and repeatable results. Another camp rolled its eyes at the bold “20 bugs” framing, basically saying: it’s a hobby project, not the plumbing of the internet—let’s not act like civilization is ending. Then came the spicy subplot: complaints that some AI models make security testing awkward because of safety blocks, prompting one commenter to sneer that “mythos is just that, a myth.” Meanwhile, a more optimistic voice pitched the true dream scenario: chain multiple AI steps together—find issues, explain them, build test cases, then fix them. In other words, the comments weren’t just reacting to bugs; they were fighting over whether AI is a watchdog, a diva, or both.