Phoenix VS gleam

A standard Phoenix app contains a priv/repo/seeds.exs script file, which populates a database when it is run, so that developers can work with a conveniently prepared environment.

There was one in the Phoenix Framework (Elixir) about issuing certificates with an invalid end date: https://github.com/phoenixframework/phoenix/issues/5737

Interestingly, Azure had this bug some years ago too leading to an outage. https://azure.microsoft.com/en-us/blog/summary-of-windows-az...

Official website: https://www.phoenixframework.org/

Since you mention Rails, have you seen https://www.phoenixframework.org/

Thus, we set out to build a desktop application using a LiveView from the Phoenix Framework in Elixir. For the uninitiated, a LiveView is a process that receives events, updates its state, and renders updates to a page as diffs. The LiveView programming model is declarative: instead of saying “once event X happens, change Y on the page”, events in LiveView are regular messages which may cause changes to its state.

It seems though like Phoenix is similar like Blazor Server (using web socket), but Phoenix is: SEO friendly (first render is plain html) Light weight, scales well and concurrency is first class Easy to develop (runs a local server so you see live updates) Compiled With auth out of the box https://www.phoenixframework.org/

Sorry to hear this. Phoenix v1.7 changed how it structures files in disk and that broke quite some of the getting started material. However, the guides are always kept up to date, so you can give it a try: https://hexdocs.pm/phoenix/overview.html

You can also see the resources on this page listed by year: https://github.com/phoenixframework/phoenix/blob/main/guides... - the recent launched ones are most likely up to date.

Yes! I love Elixir :) [Phoenix LiveView](https://www.phoenixframework.org/) is really amazing. I feel so fast working in it. I got hooked after watching Chris McCord's ['Build a real-time Twitter clone in 15 minutes'](https://www.youtube.com/watch?v=MZvmYaFkNJI&embeds_referring...), and things have improved a lot since then.

I still work on a lot of Java projects. As of JDK 17 Java has most of "ML the good parts" and has the same scalable, reliable and high-performance threading Java is famous for. JAX-RS provides a Sinatra style framework that makes it easy to write JSON API back ends. JDK 21 is just about to come out as a long term supported version and it will be even better.

I do my side projects in Python with aiohttp and think it is a lot of fun even though people tell me it is suicide (I guess if you block the thread you are in trouble)

I think "Next.js" really wants a node.js backend which has the big advantage that you can share code with the front end and back end. It's basically single-threaded but I know people who are happy with it.

The system I'd most like to try is

https://www.phoenixframework.org/

which is just great if you want to do stuff with websockets that is more interactive than what most people are doing.

I haven't had time to really try to write anything in it, but https://gleam.run/ looks really good too. Like Elm for backend + frontend!

Want a friendly language for building safe systems at scale? Gleam is here for you. It features modern and familiar syntax, that's reliable and scalable. Gleam runs on an Erlang virtual machine, and can run plenty of concurrent tasks. It comes with a compiler, build tool, formatter, editor integrations, and package manager all built in so you can get started right away. Congrats to the team on shipping your first major version 🙌.

While I love Clojure, I have to agree about tooling. I recently started using Gleam* and was impressed at how easy it was to get up and running with the CLI tool. I think this is an important part of getting people to adopt a language.

* https://gleam.run/

If you use languages that compile to WASM (such as Gleam https://gleam.run), and can also run Postgres via WASM, then it opens very interesting offline scenarios with codebases which are similar on both the client and the server, for instance.

Recently, Gleam has gained more popularity, and a lot of developers (including me) are learning it. At the time of this writing, it has exceeded 14k stars on GitHub; it grew really fast for the last month.

Oh, strange that github had a date of 2016 on this one: https://github.com/gleam-lang/gleam/issues/2

I was just going by that, though I do remember checking out gleam 5 years ago or so.

Re: macros, I really do think they’re a big deal and all the other newer languages I’ve used, such as Rust have some kind of macros or powerful meta programming features.

For older languages, a few, like Ruby have enough meta programmability to make nice DSLs, but many others don’t. Given the choice, I’d much rather have Elixir/Clojure style macros than other meta-programming facilities I’ve seen so far.

I had been only following this language with some interest, I guess this was born in gitlab not sure if the creator(s) still work there. This is what I'd have wanted golang to be (albeit with GC when you do not have clear lifetimes).

But how would you differentiate yourself from https://gleam.run which can leverage the OTP, I'd be more interested if we can adapt Gleam to graalvm isolates so we can leverage the JVM ecosystem.