Codetown
Codetown ::: a software developer's community
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.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Check out the Codetown Jobs group.
InfoQ Reading List
Getting Feedback from Test-Driven Development and Testing in Production
Teams rely on strong unit and integration tests instead of end-to-end tests. Using TDD, pair programming, and good design, they ship small changes often, test in production for real feedback, and use feature toggles to reduce risk, Ola Hast and Asgaut Mjølne Söderbom mentioned in their talk about continuous delivery with pair programming.
By Ben LindersGoogle Pushes for gRPC Support in Model Context Protocol
Google Cloud is bridging a critical gap for enterprises by introducing a gRPC transport package for the Model Context Protocol (MCP), enhancing integration for businesses already using gRPC. This game-changer reduces development friction, ensuring AI agents seamlessly connect with existing services while boosting performance and efficiency. Join the evolving landscape of AI integration!
By Steef-Jan WiggersLinkedIn Re-Architects Service Discovery: Replacing Zookeeper with Kafka and xDS at Scale
LinkedIn's engineering team successfully upgraded its legacy ZooKeeper service discovery platform to enhance scalability and performance. By leveraging Apache Kafka and the xDS protocol, the new architecture enables eventual consistency, supports multiple languages, and allows migration without downtime. Post-upgrade, latency vastly improved, facilitating hundreds of thousands of app instances.
By Patrick FarryPresentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems
Sarah Usher discusses the architectural "breaking point" where warehouses like BigQuery struggle with latency and cost. She explains the necessity of a conceptual data lifecycle (Raw, Curated, Use Case) to regain control over lineage and innovation. She shares practical strategies to design a single source of truth that empowers both ML teams and analytics without bottlenecking scale.
By Sarah UsherJava Explores Carrier Classes to Extend Data-Oriented Programming Beyond Records
The OpenJDK Amber project has published a new design note proposing “carrier classes” and “carrier interfaces” to extend record-style data modeling to more Java types. The proposal preserves concise state descriptions, derived methods, and pattern matching, while relaxing structural constraints that limit records.
By A N M Bazlur Rahman
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