Other Languages on the JVM Village

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Other Languages on the JVM Village

Love Jython? Can't get enough JRuby? Groovy? Dynamic languages on the JVM can set you free! Scala? Sure! Let us know what you think here in the Other Languages on the JVM SIG

Members: 9
Latest Activity: Feb 28, 2015

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The Definitive Guide to Jython

This just in: The Definitive…Continue

Tags: python, jvm, jim baker, java, jython

Started by Michael Levin Aug 19, 2009.

Programming in Scala Book is out!

You may get an e-copy at a pretty low price. Check it out at http://www.artima.com/shop/programming_in_scalaHave fun!-ZContinue

Tags: book, scala

Started by Zemian Deng Nov 22, 2008.

Scala 2.7.2.final release is out!

In case you missed it, the new release marks a important date for them. Besides few big features and bugs fixes added, this release will mark as the implementation reference of their official…Continue

Tags: scala

Started by Zemian Deng Nov 14, 2008.

Using scala scripts to check Java jar files

Here I attached two scripts that might help you working with jar files.Have you tried to verify that a Class must exists in a lib directory that has few dozens jar files? For example I read from a…Continue

Started by Zemian Deng Sep 11, 2008.

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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

Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent

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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This article details our migration from Apollo Federation to a TypeScript-based tRPC stack, which resulted in an 89% reduction in bugs and 67% faster response times. It also covers the mistakes we made, the unexpected performance gains, and an overview of the production architecture we use today to handle 2.4 million daily requests with 99.97% uptime.

By Dinesh Kumar Elumalai

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