524 points on HN about a trending jailbreak technique. Instead of reading the thread, I ran it against my own production prompts. What I found isn't an isolated case — it's a systemic symptom that changes how I think about my LLM guardrails.
Distros find out about kernel vulnerabilities at the same time as the public. I run on Railway over Ubuntu and this forced me to audit every layer of my stack. What I found isn't reassuring.
The Python ML ecosystem has a structural problem that Node and Rust solved years ago: the transitive dependency chain of a single ML library can exceed 200 entries, most without verifiable cryptographic signatures. I simulated the same vector against my own stack — and what I found is not reassuring
648 points on HN about bugs Rust doesn't prevent. I took the list, ran it against real production code I actually use, and found exactly what they promised wouldn't be there. Rust gives you memory safety, not logic safety — and that difference matters more than the community admits.
The HN post with 689 points about an agent that destroyed a production DB is generating massive searches. I'm not rehashing someone else's war story — I'm opening my own CrabTrap and async agent logs to show what destructive operations almost made it through, where the trust chain broke, and why fra
HN reported that the Linux kernel is receiving removals based on LLM-generated security reports. I took the same pattern and ran it against my own production code. What I found made me uncomfortable — but not for the reasons I expected.
I installed CrabTrap on my real infrastructure — a proxy that intercepts HTTP calls from agents and judges every response with another LLM before executing it. I measured latency, false positives, and token cost overhead. The result has a circular trust problem that nobody in the announcement mentio
I've used Notion as my second brain since 2021. When I found out it exposes the emails of every editor on public pages, I audited my shared pages. The number didn't bother me as much as realizing I'd never once thought of Notion as an attack surface. That's the real problem.
The Vercel April 2026 incident wasn't the problem. The problem was that I had outsourced my threat model along with my deployment. An uncomfortable reflection on epistemic negligence dressed up as pragmatism.
32 years in the dev trenches. Here I write what I learned, what I broke, and what nobody tells you in the tutorials.
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