Scala at scale at Databricks
We develop the majority of our code in scala at my company (in fintech).<p>There seems to be an experience in this thread that training in Scala is difficult. For anyone who is considering and wants another perspective - I have found that junior engineers tend to get up to speed more quickly in Scala than in other languages and that I can give them more freedom (because I know their programs won&#x27;t compile if they don&#x27;t line their types up and our use of the type system very immediately forces them to deal with the possibility that an operation can fail, e.g.). I can simply look at types and give them a nudge in the right direction (heyoo -fp either joke-). Yes they suffer a little in the beginning, but are usually shipping code within a few weeks then their trajectory really begins to rocket. It&#x27;s very cool to watch them grow to building complex systems in a complex domain so quickly. As they grow the ease of refactoring means that it is easy to change their prior work as they gain more understanding, so for our management the penalty of allowing them to learn in the wild about something that&#x27;s suboptimal is pretty low - they will come back and fix it. Of course what I&#x27;m saying above is really about FP and type systems and an implicit (heyoo -scala joke-) presence of thought about how our systems work top to bottom and how we train people. I think that is also required no matter what tools you use or what you&#x27;re doing in any organization?