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IntelliJ IDEA 2026.1 with the Scala Plugin now enables you to develop Scala projects within Docker containers or natively within WSL on Windows. This means that all IDE features you're already using in your local projects are now also available for projects living in containerized and virtualized environments.In this talk, we'll walk through the following workflow:
- Importing an sbt Scala project stored in virtualized environments, such as Docker or WSL
- Compiling and running the project in IntelliJ IDEA
- Running unit tests
- Debugging the code
- Running Scala worksheets
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!
Writing client-facing APIs involves mundane tasks, whether it be REST, GraphQL, or gRPC. In this talk, I will pick two repetitive tasks during API development and demonstrate how we can utilize Scala to automate the most boring parts.
When writing software, we currently seem to have to choose between an imperative style - easy to read and write, hard to reason about - and a monadic style - hard to read and write, easy to reason about.This talk is about being greedy and getting the best of both worlds, because we deserve it.
Learn how to accelerate Scala code by orders of magnitude with Cyfra.
