Today, preparing a new benchmark to be indexed for our new RAG evaluation task. I asked the agent to write the corpus transformer and it came back clean: parsed the XML, mapped every field, ran green. On a small dataset I'd have shipped it.
Just unfamiliar ones. Terms I half-knew, expressions I'd seen but never pinned down, bash commands I couldn't quite remember. Every time I hit one, the same calculation ran in my head: Is it worth breaking my flow to look this up? The answer was usually no.
I keep noticing this new pattern in how I work, think, and make decisions. Recently, it showed up so clearly that I felt it was worth writing down.
I was trained to think economically about software work. Count your operations, mind your memory, justify your complexity. Big-O thinking does not stay in the algorithms course, it shapes how you approach everything: automate and optimize. Now I keep automation and I learn to drop optimizing. I have a vision for how I want to build and evaluate, and for the first time the friction is low enough to actually follow it.