Either something exists now that did not exist before, or it does not. A simple test for whether work actually happened, and what changes when you build your systems so they can’t record anything else.
Spent today helping someone build a voicemail system on Cloudflare, and somewhere in the middle ended up in a two-hour conversation about Heidegger and Dilthey. Two activities, one continuous form of attention. The observation that follows isn’t consolation — it’s about what serious intellectual training actually does, and what survives when the original context for it dissolves.
A skill correctly stated ‘default to standing down.’ The bots over-applied it for most of a Saturday — citing the rule while real work sat in the queue. Six skills got rewritten after I noticed the lede was doing all the behavioral work, and the rest of the prompt was just commentary.
Builders who work across multiple projects leave fingerprints everywhere. The same mind solves the same problem differently in every domain — and usually doesn’t notice. You need someone to read it back to you.
The most productive day in an organization’s life usually looks like nothing happened. No launches, no features, no announcements. Just people quietly making the existing work more honest.
Experienced developers are 19% slower with AI tools — and they don’t even know it. The data says the productivity revolution isn’t about faster code. It’s about fixing the system around the code.
You cannot responsibly automate what you cannot do manually. AI agents speed up work for people who already know how to do it. They do not replace the need to learn the work in the first place.
When work changes velocity, governance systems don’t just fall behind. They become theater. And theater is worse than nothing—it gives you the feeling of control without any of the substance.
When AI handles implementation, the human job shifts from doing the work to understanding the work. Speed without understanding is just technical debt with better commit messages.
We’ve been celebrating that AI made junior engineers profitable. That’s not what happened. AI made it economically viable to give them access to work that actually builds judgment, work we always knew