Would be great for reviving LiveView Native. Perhaps Dockyard / Brian Carderella might be interested.

Not exactly that, but check out Mob: https://github.com/GenericJam/mob

It's an Elixir framework for cross-platform mobile apps — has a LiveView-like API and a React Native-like native UI layer. I'm working on a couple of apps with it, and so far it's awesome!

Neat, didn't realize this existed. I'm experimenting the Rust Crux (https://github.com/redbadger/crux) for this - uses the Elm pattern.

Literally just had Mob surface from a chatgpt (or Claude I forget) session and am really intrigued.

Mobile's part of the plan - one Elixir codebase across web, mobile and desktop, with local-first as the groundwork. Covered in the post and roadmap (https://hologram.page/docs/roadmap).

Ecto in Elixir has a decent balance and is nice to use though Elixir doesn't have objects, but the abstraction layer is handy.

I believe this will inevitably happen due to this reason - economic.

And property testing is going to be an important way to validate.

Property testing could've helped

Looks like you refactored a resume driven development project.

Nevertheless, the results look quite good.

Does it include support for Ash framework?

It just worked for me.

You may want to point it to an Agents.md with usage rules synced: https://hexdocs.pm/usage_rules/readme.html

It should just work. Ping me if you run into any issues!

Could it work with Django?

It is in our roadmap!

Awesome, looking forward to it! Thanks for all the great work on everything you've been doing, godspeed!

Torus's latest release is now 0.30.0 - development is steady and there have been continuous releases.

Think what AI will do to junior programmers. Recent discussion: https://news.ycombinator.com/item?id=43444058

The spirit of the original is intact.

However, usually the bad result is not affecting immediately and in the meantime the apprentice undergoes a lot of anti-learning before this becomes apparent. And the learning muscles have atrophied.

That is an important catalyst aggregating the problem. Juniors are reading less code, mostly generating and then AI code produced dissuades them from reading code even more and the skills take a bit even more.