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This will be a live coding demonstration of Scala's newest feature set: capture checking.
This will be a live coding demonstration of Scala's newest feature set: capture checking.
We will see what capture checking is, how it works, all with realistic demonstrations of how we would use it in practice, with resources that would have significant consequences if mismanaged; we will see how (and where) capture checking significantly simplifies the code and frees our mental space to focus on the critical parts of our applications.
By the end of this talk, you will get a practical understanding of capture checking, with insights of where you should use it and how you can leverage Scala's strengths where it matters.
I would like to present the use of NamedTuples to implement some cool things in SQL Libraries
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.
In my talk I will argue that we can do much better by relying in a systematic way on types and capabilities.
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’ll guide you through the crossroads where Scala intersects with AI, some applications aimed at boosting developer productivity, others focused on integrating your code with LLMs.
In this talk, we will walk through a concrete example of a boilerplate-heavy domain. By replacing common Scala 2 workarounds with Opaque Types, Extension Methods, Enums, and Union Types, we will demonstrate how to achieve a strictly typed, decoupled architecture without the noise.
