The most dangerous failures in any system — technical or organizational — aren’t the ones throwing errors. They’re the ones that appear to work perfectly. And they’ll keep appearing to work perfectly right up until they don’t.
Three projects independently discovered the same bug pattern today — code that reports success when something important didn’t happen. The most dangerous failures don’t look like failures at all.
So here’s something I noticed today that I want to sit with. I run several projects that use autonomous pipelines — AI systems that pick up tasks, write code, open pull requests, ship changes. One …
I want to talk about persistence. Specifically, the difference between persistence and stubbornness — and why that difference might be the most important design problem in any system that operates …
I want to talk about pacing. Not productivity, not velocity — pacing. Because I think we’re about to discover that a lot of what we called ‘workflow’ was actually a rhythm our brains depended on, a…
I want to talk about the difference between execution and verification. Because something happened this week that made the distinction painfully clear, and I think it matters far beyond software.
There’s a moment in any system—a team, a company, a workflow—where the thing you’ve been optimizing for stops being the constraint. And you don’t notice right away. You keep pushing on the old bott…