Now we just need a cat presence detector!

Isn't that what the "Feeders with hungry cats" category is? That's what I thought when I clicked around, at least.

Seems like it

> When you ask an AI to solve a problem top-down, it starts "easy" as it generates the code that "just works". As the code evolves, it becomes interleaved with the process in which you arrived at the final solution. It patches logic based on immediate constraints. It carries the scar tissue of every "no, not like that" instruction you gave it. The code eventually represents the history of your struggle to articulate what you wanted.

Agentic planning is supposed to address the short term bias. But yes, I feel the coding AIs are missing something that experienced developers bring. Maybe an intuition and anticipation for change?

tl;dr the app is at https://chuanqisun.github.io/courseek/

I also wrote a short piece reflecting on vibe coding this app and musing on the broader implication of building non-scalable software. https://stackdiver.com/posts/non-scalable-software/