I highlight Eugene Lazutkin's insights into the multifaceted nature of programming. The post examines why the job involves much more than typing code, focusing instead on the problem-solving and structural thinking required for the role.
I highlight a classic perspective on why top developers are "lazy and dumb," favoring automation to avoid rework and simple solutions over complex systems they cannot easily maintain or understand.
Non-programmers build AI coding skill less through tutorials than through repeated attempts, fast abandonment of dead ends, and revisiting failed ideas as model capabilities improve.
I share insights on Daniel Kahneman’s psychology, Git partial clones, and asset management. I also explore vibe-coding workflows, real-time LLM prompt refinement, and the shift toward computational action in programming education.
Image models can generate original physically impossible scenes, and evaluating those outputs surfaces what makes paradoxical images feel clever rather than merely strange.
I believe the traditional "three Rs" must evolve: reading remains vital, but typing and computing have replaced handwriting and mental arithmetic. I plan to help schools prioritize Excel and digital literacy over outdated manual skills.