I build things to understand how they actually work. A question, a system built to answer it, a comparison against real data. Just the code, the curves, and what they actually mean.
A running vertical timeline of the AI tools I’ve leaned on day-to-day - for coding, chat, research, and the work in between. Updated as I adopt new ones.
A commonplace book - prompts and magic words I’ve collected from others and keep reaching for. Not mine; just my favorites. Growing as I find more.
I tried Claude Code’s experimental agent teams on an actual job - analyzing upstream divergence on Scality’s S3 CSI driver - not a toy demo. Field notes on what worked, what cost, and the three settings worth knowing.