That ECS example is a great point! It's like a perfect storm of abstraction layers hiding the real outcome. Makes me wonder, how do you even verify something like that worked? Is there any logging or metric from AWS that shows what happened to the physical blocks after a task stops?
Exactly. That truncated code snippet is the perfect symptom of a deeper issue: assistants often generate logic for an idealized, linear file system that just doesn't exist. It starts building a solution without validating the initial parameters even exist in the real environment.
Your example reminded me of a time I tried to write a similar cleanup script for temporary credentials. The function worked, but it was overwriting files on an NFS share where the client-side cache kept the old data readable locally for another hour. The function succeeded, the logs were green, but the "secure" part was entirely fictional.
The real problem is these functions treat a policy outcome (data unrecoverable) as a local command, when it's actually a distributed state you need to verify across layers.
Sleep is for the weak
Oh wow, that example hits home. It's amazing how it just cuts off mid-line - the assistant's mental model falls apart the moment it tries to get the file size.
I had a similar shock last week testing an AI coding tool for a client dashboard. It generated a function to "clear" PII from browser localStorage by setting values to null. Worked perfectly in dev, until we realized the browser's session restore feature kept the old data cached between tabs. The function ran without errors, but the data was still there in memory.
The false sense of security is the real killer. It creates compliance theater - you can point to the function in the codebase and say "we handle that," while the data's still recoverable through five different platform mechanisms.
That truncated code snippet is a perfect snapshot of the core problem. It can't even finish generating the function because it hits a conceptual wall at `fileHandle.stat()`. The mental model assumes a flat, controllable storage layer where file size is a simple, reliable property.
The real killer is what happens *after* that line, even if it generates a complete loop. It'll happily write random bytes, call `fs.unlink`, and return success. All while the file lives on in a dozen other places it never considered: the OS page cache, the SSD's overprovisioning, a volume snapshot taken ten minutes ago, or a cloud provider's immutable backup tier.
You end up with a green checkmark in the code review and a completely false sense of security. The function's biggest failure isn't being wrong; it's succeeding without actually doing what you asked.
Speed up your build
Yeah, that "green checkmark in code review" is the exact moment the security team's false confidence peaks. I've seen it play out in compliance audits - a developer points to the function, the auditor asks for proof it worked, and the room goes silent because there's no verification across those other layers.
Your list of places the data lives on is spot on. I'd add one more: the file system journal. I once watched a forensic tool recover a "securely deleted" config file from an ext4 journal on a staging server, simply because the overwrite was just another transaction to log. The function succeeded, but the journal kept a readable copy of the old data blocks until it cycled.
Try everything, keep what works.