rabisg

6 ms·

1.
by rabisg 2mo ago
The language is platform independent and the parsers and renderers are open source with the intention of letting people fork out into their own language. Would love your support in extending it to other platforms
2.
by rabisg 2mo ago
Hey @bel8 Founder of Thesys here - company behind OpenUI. its designed to be very customizable but if you hit a roadblock please open an issue on GH and we'd be happy to patch it
3.
by rabisg 6mo ago
My experience is from trying to get the React Native example to work with OpenUI. Felt Sonnet/Opus was much better at figuring out whats wrong with the current React implementation and fixing it than it was with React Native But yes I
4.
by rabisg 6mo ago
We tried all formats - XML, json, jsonl, even toon - before deciding that we need to invest in OpenUI Lang The primary motivation was speed and schema cohesion. We were running a JSON based format, Thesys C1, in production for a year before
5.
by rabisg 6mo ago
Haven't looked in depth but yes it feels like they are solving the same problem. This is an alternative to json-render by Vercel or A2UI by Google which I'm guessing the flutter implementation is based on
6.
by rabisg 6mo ago
as an author of the blog - ouch did a little bit more than prompt claude but a lot of claude prompting was definitely involved I understand your frustration with AI writing though. We are a small team and given our roadmap it was either use
7.
by rabisg 6mo ago
(author here) We'd be really surprised if a rewrite could fix the boundary tax but if it does, we'd happily move over to it. People (including me) really underestimate how insanely fast browser's JSON.parse is
8.
by rabisg 6mo ago
Its the library that bridges the gap between LLMs and live UI. Best example would be to imagine you want to build interactive charts within your AI agent (like Claude) The most obvious approach would be to let LLMs generate code and render
9.
by rabisg 6mo ago
One of the authors here. While that’s generally true, in this case it wasn’t time that helped us learn what worked. It was a nagging sense that the architecture wasn’t right, just days before launch, along with heavy instrumentation to test
10.
by rabisg 6mo ago
The last part is really interesting. It feels like the whole world will soon become Python/JS because thats what LLMs are good at. Very few people will then take the pain of optimizing it
11.
Show HN: C1 – an OpenAI-compatible LLM API that renders real UI instead of md
1 points by rabisg 1y ago|0 comments