Fair - some of the points in these examples will rot. What I think transfers are the failure modes: context rot, agents filling in decisions, whether a codebase is greppable. Those can turn into team principles, and you can only learn this through experimentation.
I did refer to some specific models, though a lot of these learnings are from experience over the past 6 months or so, and continue to generalize as frontier models improve.
Curious if there’s a specific point you feel is too detailed?
- LOC matter?
- Do PRs?
- Do Tokens?
I’ve never looked up a KPI to figure out who the best engineer is. It’s always obvious to everyone who the best engineer is
Natural leaders inspire. They don’t need KPIs
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