In this post, the author presents patterns in the workflows of master programmers that they have observed over the years. They discuss how effective programmers are able to solve bigger problems by either solving more problems at once or solving fewer problems at once, depending on their level of expertise. The author also emphasizes the importance of slicing projects into smaller parts and making one change at a time. They also highlight the significance of baseline measurement and concrete hypotheses in problem-solving. The author concludes by discussing the value of tradeoffs, feeding ideas, and how time should be allocated in different aspects of work. This post provides insightful advice for programmers looking to improve their efficiency and problem-solving skills.
https://tidyfirst.substack.com/p/mastering-programming