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Android Architecture has been evolving over the years and we need to adapt to the current times. Here we will dive into Functional Programming, OOP, Error Handling, Modularization and Patterns for the Android Platform, and everything written in Kotlin. “First solve the problem, then write the code.” IntroductionOur scenarioGeneral ArchitectureDomain Layer: Functional Use CasesWhat is going on here
Architecture is about evolution. Also on Android this is a constant work in progress, so in this post we will walk together through the evolution of my implementation of Clean Architecture on Android from previous posts. “Evolution stands for a gradual process in which something changes into a different and usually more complex or better form.” IntroductionArchitecture evolutionReactive approach:
Dependency Injection (DI) is probably one of the most fundamental functionalities every software project should have. In this ocassion, we will see how Dagger 2 can help us and what is the logic behind its usage, in order to achieve objects injection in Android (OOP). “Software Engineering and Architecture is about evolution.” IntroductionWhy dependency injection?What is JSR-330?Dagger 1Dagger 2Di
There are so many operators which transform streams of data. Using the right ones could be challenging but something we ought to, so let’s clear up the main difference between concatmap() and flatmap() in RxJava, which can save us a bit of headache. “Programs must be written for people to read, and only incidentally for machines to execute.” IntroductionObservable transformationThe problemA simple
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Architecture is about evolution. The purpose of this article is to present an approach based on Clean Architecture from Robert C. Martin applied to Android. This is something I had in mind in the last few months, so let me share all the stuff I have learnt from investigating and implementing this pattern. “Just because architecture is supposed to be stable, it does not mean that it should never ch
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