Arguably the most popular filetype stored with a rails app is images, but ActiveStorage didn't even support CDNs. 3rd party gems like CarrierWave supported CDNs do.
Instead of adding exactly what gems you need, rails forces you to jump through hoops to removed bloatware (ActiveText, ActiveCable, ActiveStorage).
Moving off of the rails asset pipeline to webpack was silly. If you're running a SPA, you should have a fully separated web-app and tooling stream instead of trying to merge your backend and frontends. For server side rendering, asset pipeline was good enough IMHO.
ActiveText doesn't even support CRDTs. Otherwise it doesn't really add much value to advanced text editor eco-systems.
The change logs are either adding bloatware that only Basecamp asked for, bug fixes, or security patches.
> And i think mentioning ML points in a direction that you don't know much about normal web development since for 99% of web things you don't need any ML at all.
This sounds like someone that has either only worked with webapps with very few users and not at big tech scale. You can get away with not using ML in b2b products with 5 customers, but at some point you will need to add ML to scale.
Instead of adding exactly what gems you need, rails forces you to jump through hoops to removed bloatware (ActiveText, ActiveCable, ActiveStorage).
Moving off of the rails asset pipeline to webpack was silly. If you're running a SPA, you should have a fully separated web-app and tooling stream instead of trying to merge your backend and frontends. For server side rendering, asset pipeline was good enough IMHO.
ActiveText doesn't even support CRDTs. Otherwise it doesn't really add much value to advanced text editor eco-systems.
The change logs are either adding bloatware that only Basecamp asked for, bug fixes, or security patches.
> And i think mentioning ML points in a direction that you don't know much about normal web development since for 99% of web things you don't need any ML at all.
This sounds like someone that has either only worked with webapps with very few users and not at big tech scale. You can get away with not using ML in b2b products with 5 customers, but at some point you will need to add ML to scale.