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Joined 1 year ago
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Cake day: June 7th, 2023

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  • It varies on who does the interview but I push for much simpler than leetcode type stuff- e.g. not puzzle problems but more “design a program that can represent a parking structure and provide a function that could be used for the ticket printer to determine where a new car should park, as well as one that can run upon exit to determine payment”

    Then if they are actually solid we can dive into complexity and optimization and if they can’t write a class or a function at all (and esp if they can’t model a problem in this way) it’s really obvious.







  • v_krishna@lemmy.mltoProgramming@programming.dev...
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    1 year ago

    It got this foothold pre-spark, largely due to the akka and typesafe/lightbend ecosystem. Then spark resulted in a lot of data engineers picking up scala (this was my entrance, from the Hadoop map/reduce world). And now cats/zio and effect systems have rounded it out.

    Personally I love scala, my teams use it heavily (mix of styles but mostly zio-http, and a lot of spark). But scala3/dotty has been problematic enough for us that we decreed people stop updating their apps. The learning curve is HIGH (esp for functional/effect system scala). The candidate pool is small. I don’t know that if I were to start a greenfield project (without all the rest of the platform already using it) I would suggest we use scala. But the rest of our platform does, and we have tooling, and L&D tracks, etc. So onwards we go.