Codetown
Codetown ::: a software developer's community
Other Languages on the JVM Village
Information
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
Discussion Forum
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
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.
Comment Wall
Comment
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Presentation: How to Unlock Insights and Enable Discovery Within Petabytes of Autonomous Driving Data
Kyra Mozley discusses the evolution of autonomous vehicle perception, moving beyond expensive manual labeling to an embedding-first architecture. She explains how to leverage foundation models like CLIP and SAM for auto-labeling, RAG-inspired search, and few-shot adapters. This talk provides engineering leaders a blueprint for building modular, scalable vision systems that thrive on edge cases.
By Kyra MozleyArticle Series - AI Assisted Development: Real World Patterns, Pitfalls, and Production Readiness
In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are discovering that the challenge extends beyond model performance to include architecture, process, and accountability. This transition is redefining what constitutes good software engineering.
By Arthur CasalsHow CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation
To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be treated as untrusted, says Niv Rabin, principal software architect at AI-security firm CyberArk. His team developed an approach based on instruction detection and history-aware validation to protect against both malicious input data and context-history poisoning.
By Sergio De SimoneAnthropic announces Claude CoWork
Introducing Claude Cowork: Anthropic's groundbreaking AI agent revolutionizing file management on macOS. With advanced automation capabilities, it enhances document processing, organizes files, and executes multi-step workflows. Users must be cautious of backup needs due to recent issues. Explore its potential for efficient office solutions while ensuring data integrity.
By Andrew HoblitzellTracking and Controlling Data Flows at Scale in GenAI: Meta’s Privacy-Aware Infrastructure
Meta has revealed how it scales its Privacy-Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using large-scale lineage tracking, PrivacyLib instrumentation, and runtime policy controls, the system enables consistent privacy enforcement for AI workloads like Meta AI glasses without introducing manual bottlenecks.
By Leela Kumili
© 2026 Created by Michael Levin.
Powered by
You need to be a member of Other Languages on the JVM Village to add comments!