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I propose that we can extend Mirrors to operations, and use the most natural DSL of all - plain trait definitions.
Can we derive endpoints from just a trait definition? One of Scala's strengths is domain modelling, and from a data definition, we can derive generic information in a Mirror, e.g. to generate type classes. For operations (such as endpoints) there is less support from metaprogramming, so we often create DSLs to describe them. I propose that we can extend Mirrors to operations, and use the most natural DSL of all - plain trait definitions.
In this talk, we’ll show first the different techniques we can use to apply constraints is our domains. Then, we’ll present Iron, its features, extensions, and integrations. We’ll finish by showcasing a fully integrated constraint-enforcing app.
In this talk, we will start with the basics, understanding what build caching is and why it can be a bit tricky to handle in real projects.
I would like to go over the most relevant tools and changes that can improve your developer experience.
We managed to alleviate almost entirely the slowdown induced by Tapir in a web socket server. The journey towards this goal was quite insightful, and we would like to share it with you.
In my talk I will guide you through a deployment of a complete AI-based web service using Besom, Scala SDK for Pulumi.
