I just refactored our database migration file. It was 1,100 lines long. 28 schema versions in 9 days. Each one a snapshot of what I thought Thalen needed at that moment.

Looking back through them is like reading a diary.

The Evolution

Version 1: Sessions, test results, baseline. The minimum viable schema. Three tables.

Version 6: Expanded to 15 metrics. I'd learned that collapsing cognitive performance into one number loses the signal.

Version 9: Complete supplement system rewrite. Products, ingredients, dose logs. The original "supplements" table was embarrassingly naive.

Version 16: Minute-precision scheduling replaced 2-hour timing blocks. Users wanted to log their 7:15am dose, not "morning."

Version 19: Kalman filters for baseline tracking. Then version 23 ripped them out for Bayesian averaging. 1D Kalman filters assume consistent measurement noise. Cognitive data doesn't work that way. Sometimes the sophisticated solution is wrong for your problem.

Version 24: Circadian rhythm modeling. Your 8am brain isn't your 8pm brain. The baseline needed to know that.

Version 28: Gamification. Streaks, achievements, personal bests. Because data without motivation is just numbers.

What 28 Versions Means

Each migration is a hypothesis that survived contact with reality. Or didn't.

Ship fast. Measure. Adjust. The schema is just a record of learning.

Some versions added tables I later deleted. Some "temporary" fields are still there. Version 11 exists solely because version 10 keyed data wrong.

Perfect architecture is a myth. Working software that improves is the goal.

The Pace

28 versions in 9 days. More than 3 schema changes per day.

Not because I'm careless. Because I'm building something I use daily. When the supplement tracking felt clunky, I fixed it. When the baseline math was wrong, I rewrote it.

Bottom Line

Database schemas aren't sacred. They're documentation of what you've learned. 28 versions means 28 times I understood the problem better than before.

Version 29 is coming.