I got through 2 1/2 chapters of Meaning and Argument, and inspired by my upcoming project on learning, I’ve decided to format my notes in a way that’s optimized for memorization rather than trying to make them RDF friendly.
Moving on from Behavior-Driven Development, I switched to the topic of empirical software engineering and listened to Making Software, edited by Andy Oram and Greg Wilson. I picked up on this subject and this book from a talk by Hillel Wayne, one of my favorite programming bloggers. The book covers a lot of interesting and important software development topics, including how you can do research on your own code and coding practices, and while some of the essays were more listenable than others, depending on how conversational or data-heavy they were, overall I loved it.
After another two pounds off my scale reading, I think I can safely say the TLC diet is working for me, at least for weight loss. I’ll find out at our company’s wellness screening in March whether it’s reducing my cholesterol. It helped last time I tried it—not as much as I needed, but this time I’m following it more strictly, except for my lack of exercise, which I’m thinking of adding once I feel confident enough in my time management.
I didn’t do as well last week, but I’m learning what I need to do to adjust, such as not starting down “quick” rabbit holes of research when I’m about to go to bed. Fortunately my sleeping habits are still more orderly than they were.
Making Software told me there’s a name for the way my time management shaped itself up while I tracked my time—the Hawthorne effect—and I tried tracking my tasks at work to see if it would help me stick to my Pomodoro routine. It worked, and it came at the right time, because my ebook schedule is pretty tight right now, so I can’t afford to waste much time, especially when I’m trying to leave work somewhat on time, get stuff done in the evenings, and get to bed on time.
Tim and I watched the first episode of Star Trek: Picard, and they certainly know how to push the nostalgia buttons. The show’s AI theme is right up my alley too, and it’s interesting to compare this show’s take to Discovery‘s. I’m looking forward to the rest of the series.