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This talk aims to equip the audience with the minimum required bagage to get comfortable working with contravariance.
Contravariance can throw many developers off the first time they run into it. This talk aims to equip the audience with the minimum required bagage to get comfortable working with contravariance. We'll begin by building up intuition for what it means for a type parameter to be in contraviariant position, before moving on to concrete examples.
I propose that we can extend Mirrors to operations, and use the most natural DSL of all - plain trait definitions.
In my talk I will guide you through a deployment of a complete AI-based web service using Besom, Scala SDK for Pulumi.
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.
