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During the talk, we’ll build a small effect system using solely Scala 3 context functions step-by-step.
The direct style in Scala 3, influenced by languages like Kotlin and Rust, simplifies functional programming by eliminating for-comprehension syntax on higher-kinded types. It offers an imperative approach supported by context functions.
While some many Scala developers support it, others prefer the traditional functional styles used in libraries like Cats Effect and ZIO, which manage effects differently. The potential of combining Algebraic Effects and Handlers with Scala 3's direct style opens new possibilities for exploring different programming paradigms and libraries.
During the talk, we’ll build a small effect system using solely Scala 3 context functions step-by-step. With some enhancements to the common approach, we’ll discover that adding for-comprehension capabilities to such a system is possible, ending with a system that can express the same program using either direct style syntax or monad style.
In this talk, I'll walk you through coding and design practices I've developed over the years, whilst onboarding new graduates into world of Scala (be it typelevel based API, Spark based ETL, or ML pre and post-processings), and how I made the process easier for people who didn't have much Scala experience beforehand.
Scala 3.6 stabilises the Named Tuples proposal in the main language. It gives us new syntax for structural types and values, and tools for programmatic manipulation of structural types without macros. Can we, and should we, push it to the limit? Of course! let's explore DSL's for config, data, and scripting, for a more dynamic feel.
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.
