And to consider AI agents are still mostly entirely limited to generating code in token-heavy programming languages designed to be written, tested and debugged by humans.

Here are two experimental exceptions:

https://github.com/vercel-labs/zerolang

https://github.com/sbhooley/ainativelang

Not just the languages but frontend/user interfaces as well. You can see the potential for the future when using Claude Design->Claude Code->Agents live testing in BrowserOS. It's all modeled on existing humans patterns of using Figma passing to devs then testing after the fact before starting the loop again, while a lot gets lost in translation in between the designs and the code.

We'll like have some standard AI-focused UI libraries that are harnessed into a design gen system where an AI can pull all the real levers, while also developing a large training data set around it.