nornj VS mitosis

I used to think that styled-jsx was very good (I used it in this project example: https://github.com/joe-sky/nornj#basic), but its ecosystem was getting worse and worse compared with styled-components and emotion, so I never used it again -_-

Builder.io Mitosis -

In this case, we combined a fine-tuned LLM, a custom compiler that we wrote, and a custom-trained model.

The heart of Visual Copilot lies in its AI models and a specialized compiler. The initial model, trained with over 2 million data points, transforms flat design structures into code hierarchies. Our open-source compiler, Mitosis, takes this structured hierarchy and compiles it into code. In the final pass, a finely tuned Large Language Model (LLM) refines the code to match your specific framework and styling preferences. This multi-stage process ensures that the generated code is high-quality and tailored to meet the requirements of your project.

Mitosis (https://github.com/BuilderIO/mitosis) is a fantastic project, but is still in its early stages, and in need of some build tooling. It allows you to "write once, run everywhere" in the sense that you can write a UI component and have it compiled to a React component for use in a React project, a Svelte component for use in a Svelte project, and so on. It does not, however, support bundling.

create-multi-lib (run like so `npx create-multi-lib ) is my attempt to contribute a much needed bundling-layer on top of Mitosis.

It also comes with E2E testing included, and your resulting packages include type-declarations.

Depending on your needs, check out Mitosis that let you write components and compile them to svelte, angular, react. https://github.com/BuilderIO/mitosis

Saying that, you could check-out Mitosis.

I see you was inspired by https://github.com/BuilderIO/mitosis was there no way to extend there AST?

I discovered https://github.com/BuilderIO/mitosis, and it has changed my front-end development workflow with the ability to create one development and export and test metrics on multiple front-ends delivering the best MVP possible.