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In the spirit of this, the Go project has a "common code review comments" document (https://github.com/golang/go/wiki/CodeReviewComments) - topics that come up frequently when reviewing pull requests. Reading these can certainly help you get better at writing (idiomatic) Go...
Instead of using a library for state machines, have you thought about trying a language [1] that does that in a type safe way, with a compiler that has your back if you forget to deal with a state?
[1] https://elm-lang.org
> but the performance profiles & characteristics that we must know about in order to make a choice on which tool to use. And it shouldn't be that each user has to figure it out on their own, dig into PR's or whatever.
That's an interesting take – I like the idea of a catalog of standard tasks with implementations in several languages as well as their performance characteristics. I suppose Rosetta Code gets the ball rolling with this, but it's missing some performance metrics. It reminds me of [Ben Hoyt's piece](https://benhoyt.com/writings/count-words/) on counting unique words in the KJV Bible in different languages.
Not sure if this is what you're talking about, but there's https://learnxinyminutes.com. It's really awesome when getting started with a new language. If you're an experienced programmer, you can get to a newbie-but-ready-to-write-some-code level after a 15 minute reading on a new language.
https://github.com/technion/open_safety
The time I've spent on the Github actions is substantively higher than the time I've spent on the .rs files. Of course you can't "test actions before commit" in the way you can actual code, so I kept having to make branches, make 15 commits like "try action fix again", followed by squashing them all down and merging.
One approach that has worked for me so far is:
1) find out if the runtime/framework is supported but Heroku or if there are any buildpacks available.
2) spin up a Dokku instance using Vagrant for local development and testing
3) deploy to a live Dokku server
If/when I encounter any issues I add Heroku or Dokku to my search query and 9 times out of 10 I’ll find an answer to my issue. Else I just dig into the Dokku docs and GitHub issues and figure it out.
So for instance googling for deploying a Phoenix app with Dokku results in a few hits such as this one [0].
The only drawback currently is when you want to horizontally scale your deployment. You can use their kubernetes or nomad schedulers but I think those are an overkill in terms of complexity. You can use a load balancer in front of multiple Dokku instances but you then lose the ease of deployment, configuration, etc… Which is why I think their docker swarm scheduler [1] will be one of the most important feature they could add. It’s currently on the roadmap but I’m sure with a bit of sponsorship and a few pull/merge requests it will become a reality.
[0] https://nithinbekal.com/posts/dokku-phoenix-deploy/
[1] https://github.com/dokku/dokku/projects/1#card-66841201
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