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.
I asked Nano Banana 2 to create six photorealistic impossible images, then had Claude review them. The Anchored Arc stood out, while three woodshop variations exposed the model's creative repetition.
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 I plan to help schools prioritize Excel and digital literacy over outdated manual skills.