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Interested in Kotlin? Are you a practitioner?
Kotlin is a statically typed language that runs on JVM that may compile to JavaScript source code or use the LLVM compiler infrastructure. Since then, it’s grown exponentially in popularity. In 2017, Google officially backed Kotlin as the official language for Android.
And that's just the beginning! Join us here at Kotlin Town and be a part of the evolution of this exciting new language.
Website: http://kotlinlang.org/
Members: 6
Latest Activity: Nov 18, 2019
Kotlin is a statically typed language developed by a small JetBrains team in St. Petersburg, Russia that runs on the JVM. The open-source community is growing quickly, and everyone is invited: novices, hobbyists, industrialists, and experts alike!
Kotlin Features:
Our objective here is to provide a friendly forum to meet fellow programmers and exchange ideas about Kotlin as we grow together.
Here is an extensive list of links to Kotlin projects, libraries and other resources: https://kotlin.link/
Chicago Kotlin User Group x Android ListenersHosted at GrubHub, July 17Coroutines are the new hot stuff, and right now they’re being added to lots of libraries. But what if you don’t want to use an…Continue
Tags: Kotlin
Started by Amanda Hinchman-Dominguez Jul 20, 2019.
Chicago Kotlin User Group x Android ListenersHosted at GrubHub, July 17Coroutines are the new hot stuff, and right now they’re being added to lots of libraries. But what if you don’t want to use an…Continue
Tags: Kotlin
Started by Amanda Hinchman-Dominguez Jul 20, 2019.
We have an existing Android Avocado Facts application created in an …Continue
Tags: #networking, #android, #kotlinthursdays, #kotlin
Started by Amanda Hinchman-Dominguez Apr 11, 2019.
ResourcesHigher-Order Functions and Lambdas:…Continue
Tags: #functionalprogramming, #kotlinthursdays, #kotlin
Started by Amanda Hinchman-Dominguez Apr 11, 2019.
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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GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.
By Craig Risi
Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.
By Sudeep Das, Pradeep Muthukrishnan
PDF table extraction often looks easy until it fails in production. Real bank statements can be messy, with scanned pages, shifting layouts, merged cells, and wrapped rows that break standard Java parsers. This article shares how we redesigned the approach using stream parsing, lattice/OCR, validation, scoring, and selective ML to make extraction more reliable in real banking systems.
By Mehuli Mukherjee
Cloudflare's Project Think introduces a new framework for AI agents, shifting from stateless orchestration to a durable actor-based infrastructure. It features a kernel-like runtime enabling agents to manage memory and run code securely. Innovations include Fibers for checkpointing progress and a Session API for relational conversations, enhancing agent efficiency and resilience.
By Patrick Farry
LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.
By Leela Kumili
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