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In this presentation you will learn the source of your issues, and a third way - sanely-automatic derivation which is fast to compile, fast to run, and easy to debug by its users.
I will demonstrate how Pillars can take you from zero to production in record time. By leveraging Pillars’ integration of well-known libraries, you can bypass the usual complexities of setting up observability (traces, metrics, and logs), database access, API calls, and feature flag management.
In this talk, I'll introduce Bazel, exploring its core concepts and the unique aspects that set it apart from other build tools. I'll dive into some typical challenges Scala developers might face when working with Bazel.
In this talk, I'd like to share how the Iron library and features from Scala 3 helped us build a solution which is safer, more robust, and easier to maintain.
Scala 3.6 stabilises the Named Tuples proposal in the main language. It gives us new syntax for structural types and values, and tools for programmatic manipulation of structural types without macros. Can we, and should we, push it to the limit? Of course! let's explore DSL's for config, data, and scripting, for a more dynamic feel.
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