zeitwerk VS unholy

To setup it's pretty simple, you just need to create a file inside bin/console and require all the files you want to use on a REPL, most of the times we use gems like zeitwerk to provide the auto requiring, but if you want to do it manually, refer to the example below:

zeitwerk

Zeitwerk takes a directory and makes every file underneath it available to load. The convention is that every new sub-directory is a new module, and every file defines a class with the same name as the file.

There is a gem that does that used by Rails and multiple other gems:

https://github.com/fxn/zeitwerk

It is pretty easy to set it up in any Ruby project.

I actually prefer auto-loading, which lets you iterate through a package manager much easier/faster - PHP iterated through PSR-0[0] before landing on PSR-4[1], and you can always build your own (which is what most frameworks pre-composer were doing).

With Rails 7 and Zeitwerk, the Ruby community has landed on a very similar auto-loading system as PHP now[2] with constants translating to paths by convention.

[0]: https://github.com/php-fig/fig-standards/blob/master/accepte...

[1]: https://www.php-fig.org/psr/psr-4/

[2]: https://github.com/fxn/zeitwerk#the-idea-file-paths-match-co...

If you're working on non-Rails apps and need to deal with loading code, zeitwerk can be used anywhere, unlike the old Rails autoloader. It's also really easy to set up.

https://github.com/fxn/zeitwerk#collapsing-directories

Zeitwerk

With a few modifications in the gem source code, we could easily integrate Auth0 into our Rails API, but that on Rails 5. Rails 6 brought Zeitwerk code loader together, which makes it harder to perform the alterations suggested in my previous post.

Not just on the surface. See the ruby to python bytecode compiler: https://github.com/whymirror/unholy

> Python and Ruby are really similar.

Yes they are, as seen in the old _why's project:

https://github.com/whymirror/unholy

> Compile Ruby to Python bytecode. And, in addition, translate that bytecode back to Python source code using Decompyle (included.)