I turned Markdown into a protocol for generative UI

There's a lot of work happening around both generative UI and code execution for AI agents. I kept wondering: how do you bring them together into a fully featured architecture? I built a prototype:

- Markdown as protocol — one stream carrying text, executable code, and data

- Streaming execution — code fences execute statement by statement as they stream in

- A mount() primitive — the agent creates React UIs with full data flow between client, server, and LLM

Let me know what you think!

I turned Markdown into a protocol for generative UI
fabian-kuebler.com

There seems to be a lot of movement in this direction, how do you feel about Markdown UI?

https://markdown-ui.com/

Every turn of the wheel someone wants to make a new one.

Maybe one day someone will invent a rounder wheel.

There’s definitely a lot of merit to this idea, and the gifs in the article look impressive. My strong opinion is that there’s a lot more to (good) UIs than what an LLM will ever be able to bring (happy to be proven wrong in a few years…), but for utilitarian and on-the-fly UIs there’s definitely a lot of promise

Markdown UI and my approach share the "markdown as the medium" insight, but they're fundamentally different bets:

Markdown UI is declarative — you embed predefined widget types in markdown. The LLM picks from a catalog. It's clean and safe, but limited to what the catalog supports.

My approach is code-based — the LLM writes executable TypeScript in markdown code fences, which runs on the server and can render any React UI. It also has server-side state, so the UI can do forms, callbacks, and streaming data — not just display widgets.