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In this talk, I'd like to share how the Iron library and features from Scala 3 helped us build a solution which is safer, more robust, and easier to maintain.
In this presentation you will learn the source of your issues, and a third way - sanely-automatic derivation which is fast to compile, fast to run, and easy to debug by its users.
In this talk we'll see how to model a tree structure in Scala, take both imperative and functional approaches to tree traversal algorithms, and do some ASCII art at the same time.
In this talk, I'll walk you through how workflows4s works, how it stands apart from tools like Temporal or Camunda, and why it just might be the better approach for modern, event-driven applications.
