Shipping Small, Learning Fast

Large launches feel productive, but they hide feedback.

I prefer a cycle of tiny shippable units:

1. Pick a narrow outcome.
2. Ship the smallest end-to-end version.
3. Watch real usage and errors.
4. Iterate with evidence.

This keeps momentum high and risk low. It also gives writing material: each slice becomes a concrete story of problem, decision, and result.

If something is too large to explain in one paragraph, it is probably too large to ship in one pull request.