Big-O Without the Fear: Why Some Code Scales and Some Doesn't
Learn what Big-O really means, how to estimate it by reading code, and why it explains vector search indexes, expensive long prompts, and the hidden cost of chat history.

Learn what Big-O really means, how to estimate it by reading code, and why it explains vector search indexes, expensive long prompts, and the hidden cost of chat history.

Learn to read EXPLAIN ANALYZE output, spot what actually slows a query down, and fix it with better indexes, statistics, and cleaner SQL.

How each pattern moves data between your app, cache, and database, and how to pick the right one for your read/write mix.

Measure before you optimize: learn to time and profile code, vectorize with NumPy, and see how Python uses memory, with an embedding search that gets about 100 times faster.

A tour of the single-threaded, in-memory engine behind a surprising share of the internet, and the one bet that explains almost every design choice in it.

How we eliminated cold starts, solved database connection pool exhaustion, reduced P99 latency by 92%, and stabilized infrastructure costs using Docker, Caddy, and a $10 VPS.
