Kotlin Thursdays


Kotlin Thursdays

Kotlin is a statically-typed language that runs on the JVM. Developed by a small JetBrains team in St. Petersburg, Kotlin is one of the hottest upcoming languages being used around the world. We're here to grow together as an open-source community and to learn collaboratively!

Crowdsourcing Kotlin-focused Tutorials

From content on the Kotlin language itself to programming paradigms to frameworks, we encourage anyone to submit content on anything Kotlin related. Our goal is learn collaboratively, meaning that the Kotlin Thursdays team is ready to help you submit content to share with others.

How do Kotlin Thursdays work?

Every Thursday, we release new content every season. We have blogs available here in KotlinTown. This season, we're creating webisodes to compliment that content. Code and documentation related to content is available on Github.

Interested in contributing? Head over Github to learn how you can get started :)

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

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InfoQ Reading List

Hybrid Cloud Data at Uber: How Engineers Solved Extreme-Scale Replication Challenges

Uber’s HiveSync team optimized Hadoop Distcp to handle multi-petabyte replication across hybrid cloud and on-premise data lakes. Enhancements include task parallelization, Uber jobs for small transfers, and improved observability, enabling 5x replication capacity and seamless on-premise-to-cloud migration.

By Leela Kumili

OpenAI Codex-Spark Achieves Ultra-Fast Coding Speeds on Cerebras Hardware

In a major shift in its hardware strategy, OpenAI launched GPT-5.3-Codex-Spark, its first production AI model deployed on Cerebras wafer-scale chips rather than traditional Nvidia GPUs. The new model offers delivers improved throughput and low-latency, enabling a real-time, interactive coding experience, says the company.

By Sergio De Simone

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By Nicole Forsgren

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By Katharine Jarmul

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By Michael Redlich

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