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We'll explore type classes in Scala 3, using its new rules for givens, extension methods, and mechanisms for automatic derivation via mirrors or macros.
Type classes are a Scala superpower, and yet are underused in application code. Compared with OOP-based designs, type classes unlock “parametricity”, meaning polymorphic functions whose type signatures describe their behavior, making code more expressive, safer, and more predictable. This matters even more in the age of AI agents, because more mistakes can be caught at compile time, shortening the feedback loop and speeding up convergence toward a working solution.
We'll explore type classes in Scala 3, using its new rules for givens, extension methods, and mechanisms for automatic derivation via mirrors or macros.
In this talk, I will introduce the highlights of what to look forward to in Scala 3.9 LTS, as well as how to think about the upcoming new release.
Drawing from multiple Scala LLM workshops we conducted this past year, I will share insights to significantly enhance your AI experience.
So, is there a modern solution for web apps that is powerful, simple, and blazingly fast in both CI and the browser? A solution that lets you write in your favorite backend language and is fun? The answer is Datastar!
