InfoQ Homepage Programming Content on InfoQ
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From Mixins to Custom Hooks: History of Sharing in React
Ben Ilegbodu takes a history lesson on sharing in React in order to better understand how modern day custom hooks work and the problems they solve.
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Enabling Java: Windows on Arm64 – a Success Story!
Monica Beckwith discusses a timeline of their development efforts and Microsoft’s journey into OpenJDK land, a few Arm64 and Windows nuances, their testing and benchmarking.
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Project Valhalla: Bringing Performance to Java Developers
Tobi Ajila explains the advances being made in Project Valhalla to improve Java's memory density by making it easy to create compact, cache efficient data structures.
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C#'s Functional Journey
Mads Torgersen discusses how object-oriented languages, particularly C#, have adopted functional features, and what to expected next.
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A Love Letter to Clojure
Gene Kim discusses his endeavour as a developer through Clojure.
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The Past, Present, and Future of Cloud Native API Gateways
Daniel Bryant discusses the evolution of API gateways over the past ten years, current challenges of using Kubernetes, strategies for exposing services and APIs, the (potential) future of gateways.
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How Netflix Scales Its API with GraphQL Federation
Jennifer Shin and Stephen Spalding discuss Netflix’s API unification process using GraphQL Federation.
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Introduction to Kotlin's Coroutines and Reactive Streams
Krystian Rybarczyk looks into coroutines and sees how they facilitate asynchronous programming, discussing flows and how they make writing reactive code simpler.
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How the HotSpot and Graal JVMs Execute Java Code
James Gough discusses HotSpot, explores Graal and the JVM ecosystem to discover performance benefits of a platform 25 years in the making.
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Elixir vs Scala
Ludwik Bukowski and Kacper Mentel compare the results of a pattern recognition app implemented in Elixir and Scala.
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A Year with Java 11 in Production!
Andrzej Grzesik talks about Revolut’s experience in running Java 11 in production for over a year. He discusses tools, alternative JVM languages, and some 3rd party products.
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A Functional Tour of Automatic Differentiation
Oliver Strickson discusses automatic differentiation, a family of algorithms for taking derivatives of functions implemented by computer programs, offering the ability to compute gradients of values.
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