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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.
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.
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 present insights from running the Open Community Build, where we continuously build and migrate nearly 2,000 open-source projects to the newest Scala Next versions, from scratch, every week.
