OpenUI Framework: Lessons in Performance Optimization for Generative UI Parsing
By
zahlekhan
A baker's-dozen of insight crammed into one ring.
Summary
The article discusses the development of OpenUI, a generative UI framework, and the team's realization that they were optimizing the wrong aspect of their system. They built a parser in Rust compiled to WASM for speed, but discovered that the overhead of WASM calls was more significant than the parsing speed itself. The article explains their technical journey, the multi-stage parsing pipeline, and their insights about performance optimization trade-offs in web-based generative UI systems.
Key quotes
· 5 pulledThe logic was sound: Rust is fast, WASM gives you near-native speed in the browser, and our parser is a reasonably complex multi-stage pipeline.
Turns out we were optimising the wrong thing.
The openui-lang parser converts a custom DSL emitted by an LLM into a React component tree. It runs on every streaming chunk — so latency matters a lot.
Every call to the WASM parser pays a mandatory overhead regardless of how fast the Rust code itself runs.
OpenUI is a full-stack Generative UI framework with a compact streaming-first language, a React runtime with built-in components, and ready-to-use chat interfaces - using up to 67% fewer tokens than JSON.
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