On reading a closed system

There's a particular satisfaction in taking a complex, deliberately opaque system and reasoning your way to a clean model of it. Capture the traffic, find the pattern, name the protocol, predict the next message — and check whether you were right.

Done responsibly, for archival and learning, it's the same muscle that makes you a better builder: you stop treating systems as magic and start treating them as things with knowable rules.

Every layer you peel back — TLS, the protocol, the asset format, the data tables — is a small, falsifiable hypothesis. That's the whole game.