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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.
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!
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.
This will be a live coding demonstration of Scala's newest feature set: capture checking.
Code generation is one of the most promising applications of large language models (LLMs), offering substantial productivity boosts for developers. However, this benefit is tempered by serious concerns surrounding the correctness and security of the generated code - especially outside the happy path.
Don't miss out on this opportunity to connect with Scalar community and create lasting memories!
