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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.
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:
* maintaining the list of possible errors up to date (uses Scala 3)
* endpoint explosion with different return data requirements, having to write custom optimized DB queries for each of them
The demonstration will use GraphQL and Caliban, but the principles apply to other endpoint types as well.
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.
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.
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!
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.
