sciter VS cue

> wondering if css and svg could be used as abstraction over graphics and UI libraries

There's another project called Sciter that uses CSS to target native graphics libraries: https://sciter.com

> I wonder how hard it was to implement css. I've heard it can be pretty complex.

It was hard, but the biggest barrier is the obscurity of the knowledge.

Text layout is the hardest, because working with glyphs and iterating them in reverse for RTL is brain-breaking. And line wrapping gets really complicated. It's also the most obscure because nobody has written down everything you need to know in one place. After I finished block layout early on, I had to stop for a couple of years (only working a few hours a week though) and learn all of the ins, outs, dos, and don'ts around shaping and itemizing text. A lot of that I learned by reading Pango's [1] source code, and a lot I pieced together from Google searches.

But other than that, the W3C specifications cover almost everything. The CSS2 standard [2] is one of the most beautiful things I've ever read. It's internally consistent, concise, and obviously the result of years of deliberation, trial and error. (CSS3 is great, but CSS2 is the bedrock for everything).

[1] https://gitlab.gnome.org/GNOME/pango/

otherwise, if we have only retained mode as in browsers, we will need to modify the DOM heavily and create temporary elements for handles.

[1] https://sciter.com

I've still never used it but I've long been curious about Sciter:

https://sciter.com

These bullet points are exactly what I did in Sciter (https://sciter.com)

- Windowing

-- Tabs

-- Menus

-- Painting

-- Animation

-- Text

-The compositor

-Handling input

-- Pointer input

-- Keyboard input

- Accessibility

- Internationalization and localization

- Cross-platform APIs

- The web view

- Native look and feel

On top of that DOM and CSS implementations to achieve declarative UI. And JS as a languuage behind UI - declarative in some sense way of defining UI behavior.

I'm not sure if it can support all the libraries but yes it can be used to make desktop apps. Theres also Sciter.

https://sciter.com/

Where `kube.cue` sets reasonable defaults (e.g. image is /). The "cluster" runs on a mini PC in my basement, and I have a small Digital Ocean VM with a static IP acting as an ingress (networking via Tailscale). Backups to cloud storage with restic, alerting/monitoring with Prometheus/Grafana, Caddy/Tailscale for local ingress.

[1] https://www.talos.dev/

[2] https://cuelang.org/

I've been somewhat surprised that CUE bills itself as "tooling friendly" and doesn't yet have a language server- the number one bit of tooling most devs use for a particular language.

I'm assuming it's becaus CUE is still unstable?

Anyway, if others are interested in CUE's LSP work, I think https://github.com/cue-lang/cue/issues/142 is the issue to subscribe to

This is where I usually pitch in with "Have your heard of CUELang, our lord and savior?": https://cuelang.org/

- Not turing complete

CUE: The core problem CUE solves is "type checking", which is mainly used in configuration constraint verification scenarios and simple cloud native configuration scenarios.

If you really want executable configurations please consider a newer language like https://dascript.org or https://cuelang.org which provide better type safety.

1- https://news.ycombinator.com/item?id=38030778

Markdown and XML are nice, but what about more advanced documentation formats like OpenAPI? For one recent project, I set up automatic generation of the OpenAPI docs from (much more compact and flexible) CUE definitions (https://cuelang.org/) - which has the bonus of also being able to test the API against the definitions. JetBrains has a CUE plugin, but it's really barebones (doesn't even support jumping from the usage of a schema to its definition). Of course the possibilities when generating docs are endless (just think of the various syntaxes for doc comments, embedding examples/tests in source code etc.)...

It doesn't include validators for TOML and INI, but if you're doing JSON and YAML, I would take a look at using or building upon CUE (https://cuelang.org/). It is a different take on schema definition (plus more), and is surprising terse and powerful model.