Learnings from post-AI Open Source and how we’re approaching this so far.

Local models need focus and polish.

Why are so many interactions online terrible now?

Open Source before GitHub was reputation-driven and full of friction

Equity combines legal fairness, ownership, and upside in one everyday concept.

Why a measured position on AI tends to lean towards actually trying it.

On a shared journey with Mario.

Five months of durable execution with just Postgres.

On friction, patience, and planting trees.

Slopforks: what happens when a library gets rewritten with AI?