Ionic Framework VS language

I was recently able to sit down with some of the core members of Ionic, who also created Stencil a toolchain for building Design Systems and Progressive Web Apps. We talked at great length how typically companies are approaching Ionic from a Design Team and need help building components. As a developer I wanted to talk about the Web Components that are used within the Design System first. There was a decent amount of surprise, so I thought I would break down what a Design System is and why it doesn't matter which end you start with, as long as you have both your Design and Development teams working together to build your Design System.

Look into Ionic Framework https://ionicframework.com/ or Cordova. They might be overkill for what you’re trying to do, but they allow you to create cross-platform apps via html/css/js.

Ionic Framework UI Components are used to build a website and then a mobile application is built using Ionic Capacitor. Ionic UI components are not required but are used for UX. The vue js code presented here will work fine in a separate application.

Welcome to Part Two of this four-part series on building a mobile game using open source technologies. We'll be using Phaser, along with Ionic, Capacitor, and Vue.

Turns out, it's easier than I expected! Thanks to Phaser, along with Ionic, Capacitor, and Vue, I was able to get a mobile game up and running on an iOS device working only a few hours here and there over two weeks.

Ionic Vue tabs navigation when using with child views inside of tabs is broken. The problem is that navigation(routing) using the tabs should be non-linear, but Ionic Vue has an issue with preserving the history track for each of the tabs. The issue is described there. Is there a way to make a non-linear routing stack in Ionic Vue?

I noticed that I can enable inline-class as an experiment to play with Extension Types. You need to also add sdk: ^3.3.0-0 to your pubspec.yaml.

Current syntax is not all that bad if you are going to do OO and add various helper methods on `Message` and its subclasses, but if you just want to define your data and no behavior / helpers - then it is exceedingly verbose.

[1]: https://github.com/dart-lang/language/issues/3021

Reference

A future version of Dart will probably support macros which should make this all a bit easier to use, similar to how Swift 5.9 works which makes already fantastic use of its new macro capabilities by integrating mobx (or solidjs) like reactivity into SwiftUI by a harmlessly looking @Obervable annotation.

Coming from a Dart context here where that team is also looking at adding Macros to the language. It was really interesting to compare and contrast some of the approaches https://github.com/dart-lang/language/blob/main/working/macr...

Yes, that needs a bit of boilerplate for the constructor declaration and the extra build method, but I personally don't mind and with implicit constructors this will become much easier. Also, you get a performant UI as Flutter knows to not redraw widgets that didn't change.

I know that it would be nice not to use the generator at all, but we have to wait until static metaprogramming is implemented in dart. https://github.com/dart-lang/language/issues/1482

I implemented a prototype version of the algorithm in that paper when exploring exhaustiveness checking for pattern matching in Dart.

I found it pretty easy to understand, but also really easy to get it to generate huge combinatorially large spaces. Some careful memoization and deduplication helped, but even so I never got the performance to a state I considered acceptable.

Instead, I went with Luc Maranget's classic approach and figured out a way to adapt it to a language with subtyping (with a ton of work from Johnni Winther to figure out all of the hard complex cases around generics):

https://github.com/dart-lang/language/blob/main/accepted/fut...

The performance (in the prototype!) was dramatically better. You can always make pattern matching go combinatorial, but I haven't seen any real-world switches get particularly slow with our approach yet, and we have some fairly large tests of matching on tuples of enums.