miniblog.

One fun way of testing new AI models: take an existing codebase you have and just ask them to "review it and fix bugs". In principle this should find more issues over time as models get smarter. I've found a few bugs this way at least.

My default assumption is that external libraries are better than what I (or an LLM) would write in a v1. The extra effort to publish a project generally signifies that the author has spent a good amount of time on the problem. I end up prompting LLMs to prefer external code.

A cute systemd feature to get the system clock roughly correct: if the system time is before the compilation time of the systemd binary, it moves the clock forward to that time!