I assume so to make sure that they're rendering at 60FPS
I'm just flabbergasted.
But it's very subsidizes when compared to API tokens, so we are all being paid by VCs to write prompts actually.
Most people's mental model of Claude Code is that "it's just a TUI" but it should really be closer to "a small game engine".
For each frame our pipeline constructs a scene graph with React then
-> layouts elements
-> rasterizes them to a 2d screen
-> diffs that against the previous screen
-> finally uses the diff to generate ANSI sequences to draw
We have a ~16ms frame budget so we have roughly ~5ms to go from the React scene graph to ANSI written.Programs like top, emacs, tmux, etc are most definitely not implemented using this stack, yet they handle resizing just fine.
Usually, after 4-5 iterations, you can get something that has shed 80-90% of the needless overcomplexification.
My personal guess is this is inherent in the way LLMs integrate knowledge during training. You always have a tradeoff in contextualization vs generalization.
So the initial response is often a plugged together hack from 5 different approaches, your pushbacks provide focus and constraints towards more inter-aligned solution approaches.