Programming How to write good software faster (we spend 90% of our time debugging) If we spend the majority of our programming time and effort on debugging, we should focus our efforts on speeding up our debugging (rather than trying to write code faster).
Data Science How to know if your recommendations algorithm is actually doing a good job I led the team that built Channel 4’s recommender system for All 4 in 2016. It started out as a straightforward project. But after getting lost in a rabbit hole trying to devise a score for ‘provocativeness’ and ‘serendipity’, I learned the single most important lesson about data science.
Software Why are my emails being sent to spam - A guide for startups using GSuite “This email to an investor was marked as spam! They only noticed it by accident. Why is this happening?”
Software The Difference: Throughput vs Latency Latency and Throughput are important concepts for data scientists. How are they distinct? And why is this distinction important, not just for technical systems, but also for team performance?
Software Technical debt isn't like financial debt I hope you weren’t hoping for a blanket answer to the question of exactly when to pay off technical debt. If you were, the answer is Tuesday. Almost all interesting decisions are about risks and trade-offs. This is a framework for making our intuitions about technical debt more rigorous.