Learning in public, one system at a time.
Every article here starts as a personal study log: a syllabus, a set of pass/fail checks, and a running list of the things I got wrong and had to relearn. When a topic clicks, I rewrite those notes as a deep-dive meant for someone standing where I was a few weeks ago.
How each deep-dive is built
| model | Mental model first — before any API, the one idea that makes the rest make sense. |
|---|---|
| rubric | Each section maps to a concrete "can you actually do this?" check, not just exposure. |
| gotchas | The ⚠ Gotcha boxes are real mistakes from my review queue — misconceptions that cost me a session to unlearn, so they cost you a minute. |
| verified | Version-specific facts are checked against current docs before publishing. |
The goal isn't a reference you skim — it's understanding you keep. If a section can't survive being explained back in your own words, it isn't done.