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> While that's great, I was hoping it would be like in Rust, where each enum variant can declare its own state components, but unfortunately it seems to be more like Java: same state for all variants.
Yes, the enhanced enums we shipped in 2.17 are like Java enums.
We are also working on support for pattern matching and algebraic datatype-style programming: https://github.com/dart-lang/language/blob/master/working/05...
I say "style" here because object-oriented languages like Dart can already mostly model sum types using subclasses. What you need to get the rest of the way there is basically just:
1. Sealed types so that the compiler can check for exhaustiveness when you match over all of the subclasses.
2. A nice pattern matching syntax to let you discriminate between the subclasses and destructure them.
3. Ideally, a nice lightweight syntax for defining a sum type family as a superclass and set of subclasses, though this is relatively less critical.
We're hard at work on this, but pattern matching in general is a pretty large feature and retrofitting it into a language whose syntax wasn't initially designed around it is a challenge.
I'm very excited about macros too. That's another large, difficult feature, but one that I hope will provide a lot of power to users and make the entire ecosystem more valuable over time.
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>Citation?
https://github.com/flutter/flutter/issues/59327
This has been a long-standing issue that has ruled out Flutter for us completely. E.g, the Flutterfolio idle login screen uses 14% CPU on my Mac. For a while it sounded like Google was saying that it can't be fixed. But I think they have done some work to address this. I'll be very interested in finding out whether this has been fixed in Flutter 3.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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> There's also https://github.com/valence-native/valence-native that uses Qt.
There's been more than a year without a commit in this project, I'm not going to say it's abandoned yet but that's not that far off I guess, good luck with the issues you'll encounter.
> You can wrap the React Native Web target in Tauri or Electron for Linux.
That's one of the only realistic solution for now in my opinion.
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Ionic Framework
A powerful cross-platform UI toolkit for building native-quality iOS, Android, and Progressive Web Apps with HTML, CSS, and JavaScript.
I feel like I'm having a deja-vu. I remember having a similar discussion in the past and it turns out it happened exactly one year ago when Flutter 2 was released: https://news.ycombinator.com/context?id=26336657
Every framework has bugs and feature requests that are fighting for resources. And the ones affecting you _always_ seem more important than the ones that don't.
That being said, the fact that memory leaks in widely used components (e.g.: `` [1]) go mostly unnoticed both by Ionic developers and by the community [2] just doesn't give me confidence in Ionic being a framework used to build quality apps.
[1] - https://github.com/ionic-team/ionic-framework/issues/19242#issuecomment-556182556 -
they got clojuredart now, which is still kind of a fly-by-night thing but those Roam Research peeps are apparently using it in production
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I was enjoying the frog book (The Dart Programming Language, Gilad Bracha & Erik Meiker) but that was 2015, and now very out of date. Its strange to see there is no up to date book from major publisher, like the Rust book at https://doc.rust-lang.org/book/
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It seems unlikely that FB would give up on Litho, which is extremely performance focused, to use react native instead. Not for their bread & butter flagship news feed anyway https://fblitho.com/
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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freezed
Code generation for immutable classes that has a simple syntax/API without compromising on the features.
Any thoughts on the freezed package [0]? That's what I use currently for ADTs and exhaustive pattern matching on them, would be cool to see similar syntax in the official implementation.
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It's not remotely a realistic option. CJK is all second citizen. I just tried their latest demos. Tried to enter 日本. It utterly failed. First it's still trying to draw on it's own so you get to see some placeholder □ while typing. Then, it effup and typing n-i-h-o-n kept producing Nいほん on this example
https://gallery.flutter.dev/#/demo/cupertino-text-field
As long as they keep insisting and rendering everything themselves instead of relying on the OS/DOM Flutter will always be shit
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Went all in on Google Cloud stack, skipped K8s and instead went with Cloud Run. Only create a gRPC interface in my code but take advantage of the API gateway product to pick up the following benefits:
- Natively integrates with Google's core service infrastructure so my code gets run the exact same way and with the exact same benefits as when I use a native Google API. This gets me all the same security, monitoring, tracing, serving, deployment etc out of the box with zero effort on my behalf.
- Working with gRPC over handrolling JSON interfaces is night and day when it comes to both performance and developer experience. It's just better in every conceivable way. I don't write any manual glue code between my front and backend. Everything is autogenerated and typesafe.
- Also worth mentioning that making use of Google Cloud's API gateway (https://cloud.google.com/api-gateway) also get's me a free JSON / REST <-> gRPC gateway for web along with a free gRPC-web <-> gRPC gateway which is a necessary feature until WebTransport (https://web.dev/webtransport) makes native gRPC in the browser a viable option.
- Because I am intentionally aligning myself against Google's native service infrastructure (it's pretty similar to the K8s one which is where it comes from but the key difference here is I don't touch any of the complexity myself) I pick up an amazing resource in terms of how to actually write and structure my APIs here https://google.aip.dev/ which gives me a totally coherent set of standards and patterns no matter what I am writing. This keeps my entire backend horizontally scalable and aligned with all the relevant "cloud native" best practices by default.
- Cloud Run and Cloud Native Buildpacks (https://buildpacks.io/) get me a incredibly slick CI/CD pipeline that takes less than an hour to set up. The experience is basically Heroku where I just push code to the dev / non-dev / prod branch and everything just works.
- The images I run are tiny, they are just a single binary compiled to native x86 code and placed inside a blank Docker image thanks to Buildpacks. Google maintains the image best practices for me so I never am touching Dockerfiles for example. Not only is start up time incredibly quickly (meaning I can now safely do scale to zero) but runtime performance is also great because again... it's native x86 code.
- Managed services for everything else such as Firestore or managed Postgres for a DB, managed redis for caching etc..
- The security story is also amazing. Because Dart is a Google project and I am staying pretty strictly in the Google ecosystem I get signed binaries, signed images, a secure build environment, I get SBOMs (https://www.cisa.gov/sbom) in my container image so I know exactly what is running at any given point across time. The Google Build platform and Dart are also both converging on the SLSA standard (https://slsa.dev/) and will allow me to hit level 4 compliance by the end of the year. I rarely need a lot of 3rd party code dependencies (the difference here between Dart and Node in particular is absolutely wild).
- The overall developer experience is also incredible. Dart and Flutter's tooling is genuinely first class. As I mentioned elsewhere a few times in this thread, Google's primary money making venture (Ads) is all Dart and as a result they have put a LOT of effort in at this level to keep things smooth and predictable. For example when new versions of the language roll out I just run a single command `dart fix` (https://dart.dev/tools/dart-fix) and it just upgrades my code for me with no work on my behalf to the latest best practices. There are a whole range of features like this that is just one of them but it helps demonstrate the kind of thing I am talking about.
- Also keeping with the overall security / DX theme the developer onboarding story is also great. I don't have Flutter or Dart SDKs on my machine. I set up a VSCode devcontainer to create reproducible dev environments that just work. That clears up another whole set of potential problems for me if I want to do local development but it also allows me to sit down at ANY computer now and take advantage of Github's Codespaces and without any setup required I have a fully remote secure development environment.
Honestly, it's worth exploring. Like I said, this is NOT at all a well documented path at the moment but I hope I find the chance to write about this more in the future because what I found so far has been nothing short of amazing.
-
Went all in on Google Cloud stack, skipped K8s and instead went with Cloud Run. Only create a gRPC interface in my code but take advantage of the API gateway product to pick up the following benefits:
- Natively integrates with Google's core service infrastructure so my code gets run the exact same way and with the exact same benefits as when I use a native Google API. This gets me all the same security, monitoring, tracing, serving, deployment etc out of the box with zero effort on my behalf.
- Working with gRPC over handrolling JSON interfaces is night and day when it comes to both performance and developer experience. It's just better in every conceivable way. I don't write any manual glue code between my front and backend. Everything is autogenerated and typesafe.
- Also worth mentioning that making use of Google Cloud's API gateway (https://cloud.google.com/api-gateway) also get's me a free JSON / REST <-> gRPC gateway for web along with a free gRPC-web <-> gRPC gateway which is a necessary feature until WebTransport (https://web.dev/webtransport) makes native gRPC in the browser a viable option.
- Because I am intentionally aligning myself against Google's native service infrastructure (it's pretty similar to the K8s one which is where it comes from but the key difference here is I don't touch any of the complexity myself) I pick up an amazing resource in terms of how to actually write and structure my APIs here https://google.aip.dev/ which gives me a totally coherent set of standards and patterns no matter what I am writing. This keeps my entire backend horizontally scalable and aligned with all the relevant "cloud native" best practices by default.
- Cloud Run and Cloud Native Buildpacks (https://buildpacks.io/) get me a incredibly slick CI/CD pipeline that takes less than an hour to set up. The experience is basically Heroku where I just push code to the dev / non-dev / prod branch and everything just works.
- The images I run are tiny, they are just a single binary compiled to native x86 code and placed inside a blank Docker image thanks to Buildpacks. Google maintains the image best practices for me so I never am touching Dockerfiles for example. Not only is start up time incredibly quickly (meaning I can now safely do scale to zero) but runtime performance is also great because again... it's native x86 code.
- Managed services for everything else such as Firestore or managed Postgres for a DB, managed redis for caching etc..
- The security story is also amazing. Because Dart is a Google project and I am staying pretty strictly in the Google ecosystem I get signed binaries, signed images, a secure build environment, I get SBOMs (https://www.cisa.gov/sbom) in my container image so I know exactly what is running at any given point across time. The Google Build platform and Dart are also both converging on the SLSA standard (https://slsa.dev/) and will allow me to hit level 4 compliance by the end of the year. I rarely need a lot of 3rd party code dependencies (the difference here between Dart and Node in particular is absolutely wild).
- The overall developer experience is also incredible. Dart and Flutter's tooling is genuinely first class. As I mentioned elsewhere a few times in this thread, Google's primary money making venture (Ads) is all Dart and as a result they have put a LOT of effort in at this level to keep things smooth and predictable. For example when new versions of the language roll out I just run a single command `dart fix` (https://dart.dev/tools/dart-fix) and it just upgrades my code for me with no work on my behalf to the latest best practices. There are a whole range of features like this that is just one of them but it helps demonstrate the kind of thing I am talking about.
- Also keeping with the overall security / DX theme the developer onboarding story is also great. I don't have Flutter or Dart SDKs on my machine. I set up a VSCode devcontainer to create reproducible dev environments that just work. That clears up another whole set of potential problems for me if I want to do local development but it also allows me to sit down at ANY computer now and take advantage of Github's Codespaces and without any setup required I have a fully remote secure development environment.
Honestly, it's worth exploring. Like I said, this is NOT at all a well documented path at the moment but I hope I find the chance to write about this more in the future because what I found so far has been nothing short of amazing.
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