lgreiv

I really like the general idea, but accuracy was underwhelming. The biggest critique would be the note values / durations.

I let my wife (degree in vocal performance) sing into it and what was transcribed was not accurate at all.

I am mostly using it for hobby projects by now, but for me it is the very transparent yet mighty type system in addition to the aforementioned aspects. Its macro system is a sweet spot in comparison Ruby’s metaprogramming, which can easily be taken way too far. Also, if you do it right, you can build containers from scratch that are small in size and boot really fast. It has a really well curated and extensive standard library that lets you get away with including a lot less dependencies. It comes with a linter, a test runner, docs generator and quite useful debugging features.

I am looking forward to what AI can do to port Ruby gems to the ecosystem.

You should be able to organize accounts hierarchically using AWS Organizations, which allows to have cost centers and centralized billing (and some imposed policies over all accounts).

Very handy tool for sure. I really appreciate the efforts you made on in-line, repo and website documentation.

Nim really looks awesome too! If I came from a python background, I could see me reaching for Nim rather than Crystal.

While it may be possible to onboard Ruby developers fairly easy, it is still easier to find talent for an „established“ language. For my personal projects, I gladly use Crystal, but in my professional role as a technical decision maker I need to factor aspects like this in.

I wish Crystal would take off. It has so many things going for it (many of them mentioned in the article): performance, useful tooling such as an opinionated formatter, an integrated RSpec-like test framework, a powerful standard library, an awesome type system that gets out of the way most of the time, a familiar syntax.

So far I have been building some smaller personal CLI tools and a few web apps (with the Lucky framework). I’ve also tinkered with running it in AWS lambda functions in a custom (albeit unfinished) runtime.

Coming from a decade of Ruby, due to the similar syntax and mindset Crystal is my go to for cases where I need performance or runtime-less execution (e.g. in containers from scratch that contain only the binary and dependencies, if needed).

Crystal's standard library provided enough functionality for me in the past to get away with only few dependencies per project, which is great for supply chain security and complexity. Some of it's highlights are:

  - an ergonomic HTTP::Server and client
  - OAuth / OAuth2 clients with token refresh
  - JSON/YAML/XML parsing/generation/mapping
  - JSON/YAML mapping to classes
  - native templating similar to ERB

I have some bad news for you. They are not updating their browser integrations for <= v7 and the newer ones will not work with local vaults. De facto, they are already deprecating standalone licenses/local vaults.

Thank you for the suggestion, I’ll check it out.