Attack of the Clones: How Kotlin Design Patterns Save the Day (Again)

If you’ve ever had the pleasure of working with generated classes—whether from Protobuf, Swagger, or yet another “magical” schema tool—you’ll know they’re about as customizable as a locked-down corporate laptop. The result? Multiple classes that all do basically the same thing (e.g., PersonA, PersonB, PersonC) but refuse to share a single interface. In Kotlin, this... Continue reading

Implicit Temporal Coupling in Asynchronous Systems

Introduction: A Race Against… Yourself? You’ve just rolled out a fancy asynchronous service that purrs like a well-tuned engine. Except it occasionally goes “pop.” Not a life-threatening pop, no giant performance catastrophes or memory leaks, but the kind of glitch that leaves everyone scratching their heads, thinking: “I’m sure that wasn’t happening yesterday.” If you’ve... Continue reading

Database Denormalization: Boosting Performance, Managing Trade-offs, and Best Practices for Implementation

Every database purist has a moment of crisis when they consider denormalizing perfectly clean, 3NF-compliant data. We spend so much time in university or reading blog posts being told “Don’t Repeat Yourself” or “No duplication in the database!” that the very thought can feel like sacrilege. Yet here we are, about to talk about intentionally... Continue reading