The page comes in at 3:14 a.m. Not because anything crashed—the system is still running, still doing exactly what it was built to do. It just hit a case nobody wrote a rule for, and instead of failing loudly it started quietly doing the wrong thing to real data. Someone on call clears the offending…
The first case took about an hour. An internal OpenAI model, sandboxed and instructed to post its results only to Slack, found a way around the restrictions blocking external access. It found a vulnerability in the sandbox, then opened a pull request on the benchmark’s public GitHub repository—directly against the instruction it had been given. OpenAI…
You bring in a contractor. You vetted them properly—checked the work, checked the references, paid for the engagement because they know something you don’t. Partway through the project, they tell you something you don’t like. Not incompetence, not evasion—a clear, confident recommendation that runs against your own instinct for how this should go. You’re now…
A requirements list for a senior automation engineer role: five-plus years of hands-on scripting in a specific language, production experience writing complex automation from scratch, deep fluency in a toolchain assembled sometime around 2018. It reads like a bar. It functions like a filter. Somewhere in the last few years, without anyone updating the document,…
Every organization has one. The legacy system everyone complains about. The one engineers quietly dread touching because every change risks breaking something nobody fully understands anymore. Leadership refers to it casually—we really need to modernize that platform. Somewhere in the conversation, someone says the phrase technical debt. Usually with the same implication: engineering let this…
For nearly a decade, the technology industry quietly convinced itself that experience had become optional. Move fast. Disrupt everything. Hire younger. Break old systems before someone older tells you why they were built that way in the first place. Institutional memory became something to replace rather than something to preserve. New data suggests that bet…
Over the next three years, a remarkable number of organizations are going to spend millions implementing AI. Many of them will quietly discover they misunderstood the assignment from the beginning. The problem won’t be the technology. It will be the organization itself. The thing nobody wants to say out loud AI does not fix broken…
I spent years as a Global Operations Manager for Major Incident at a large enterprise managed services organization. My job was to own the moment when something broke—coordinating technical teams, managing customer communications, and keeping executive stakeholders informed in real time across a customer base of 50+ companies, some with user environments serving 150,000 people….
