For nearly a decade, Scala's concurrency has been driven by Akka, Cats Effect and ZIO, each with its own vision for purity, safety, and pragmatism. Kyo enters this incredible ecosystem with a fresh perspective.This talk provides a critical, technical comparison of these systems through a unified framework.

For nearly a decade, Scala's concurrency has been driven by Akka, Cats Effect and ZIO, each with its own vision for purity, safety, and pragmatism.
Kyo enters this incredible ecosystem with a fresh perspective.
This talk provides a critical, technical comparison of these systems through a unified framework, evaluating their approaches to:
- Effect Modeling: How they represent, compose, and handle effects and errors.
- Concurrency & Resilience: The guarantees and costs of their fiber and structured concurrency models.
- Developer Experience: The trade-offs in readability, ergonomics, and type-driven safety.
We will focus on how Kyo’s use of algebraic complements the work of its predecessors.
You'll see how it embraces Scala 3 and understand why it earns its place in an already fantastic field.
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.
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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.
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.