language VS quicktype

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.

I grab the response off of the network tab. Either make a structure manually or use something like QuickType

2. Quicktype

I have the library demo linked from the homepage bookmarked: https://app.quicktype.io/ I use it every time I need to go from a pile of JSON to TypeScript types or zod declarations.

This is a very intriguing problem!

Not trying to steal thunder, but quicktype (https://github.com/quicktype/quicktype) does all of this–JSON schema or TypeScript definitions to de/serializers and types in nearly 30 languages at this point. Try it here: https://app.quicktype.io

I usually use this tool: https://app.quicktype.io

Grab the json, paste it into https://app.quicktype.io/ and see if the structure matched your struct.

I usually use https://app.quicktype.io/ , they also have a VSCode plugin and then fieldaligment to make sure it's as compact as possible.

Just paste your json inside app.quicktype.io or it's vscode

P.S. This could be more efficient to generate Codable code than ChatGPT