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Java SE Town
Information
This group focuses on the Java SE environment. It's the core Java group. Questions? Answers? Musings? This is the place for you!
Members: 14
Latest Activity: Jun 26, 2019
Discussion Forum
Java 8 Resources to help you learn (thanks to Mattias Karlsson) 2 Replies
Guess you know about all the resources and video cast Oracle providedat the Java 8 Launch site:…Continue
Started by Michael Levin. Last reply by Michael Levin Mar 29, 2014.
Josh Bloch on Java and Programming
In this interview, Google’s Josh Bloch shares his views on the…Continue
Started by Michael Levin Dec 21, 2010.
JCertif is on! Rockin' in the Congo...
JCertif is one of the first Java related conferences in the Republic of Congo, Brazzaville. Sponsored by…Continue
Tags: Max Bonbhel, Michael Levin, swampcast, africajug, congojug
Started by Michael Levin Aug 25, 2010.
JSR Watch: Here’s to Progress
Here's an update from the Chair of the JCP and director of the JCP Program office: Patrick Curranhttp://java.ulitzer.com/node/965152JSR Watch: Here’s…Continue
Started by Michael Levin May 19, 2009.
Concurrent Programming
Are you doing much concurrent programming? I attended some of the concurrency talks at the NFJS conference and I'm using a mix of the old synchronized and the new(ish) java.util.concurrent classes.…Continue
Tags: Concurrency, J2SE
Started by Matt Weber Aug 31, 2008.
Comment Wall
Comment
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Comment by Matt Weber on August 31, 2008 at 1:48pm
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Are you doing much concurrent programming? I attended some of the concurrency talks at the NFJS conference and I'm using a mix of the old synchronized and the new(ish) java.util.concurrent classes. I'm interested in a discussion about the usage and decisions about when one is better than the other.
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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InfoQ Reading List
Apple Researchers Introduce Ferret-UI Lite, an On-Device AI Model for Seeing and Controlling UIs
Apple's Ferret-UI Lite is a 3B-parameter model optimized for mobile and desktop screens, designed to interpret screen images, understand UI elements such as icons and text, and interact with apps by, e.g., reading messages, checking health data, and more.
By Sergio De SimonePlatform Engineering Labs Expands formae with Multi-Cloud Support
Platform Engineering Labs today announced a major update to its open source Infrastructure-as-Code (IaC) platform, formae, adding beta support for Google Cloud Platform (GCP), Microsoft Azure, Oracle Cloud Infrastructure (OCI), and OVHcloud.
By Craig RisiAI "Vibe Coding" Threatens Open Source as Maintainers Face Crisis
Daniel Stenberg shut down cURL's bug bounty after AI submissions hit 20%. Mitchell Hashimoto banned AI code from Ghostty. Steve Ruiz closed all external PRs to tldraw. Economic research shows "vibe coding" weakens the user engagement that sustains open source. As developers delegate to AI agents, documentation visits and bug reports collapse—threatening the ecosystem's viability.
By Steef-Jan WiggersArticle: Virtual Panel - Culture, Code, and Platform: Building High-Performing Teams
In this virtual panel, we'll focus on performance improvement through platform engineering and fostering developer experience, to increase productivity, quality, developer well-being, and more. We'll also explore the role that tech leadership can play in culture change and performance improvement for software development organizations.
By Ben Linders, Patrick Kua, Abby Bangser, Sarah WellsQuesma Releases OTelBench to Evaluate OpenTelemetry Infrastructure and AI Performance
Quesma has launched OTelBench, an open-source suite to benchmark OpenTelemetry pipelines and AI-driven instrumentation. It evaluates collector performance under stress while testing how accurately LLMs handle complex SRE tasks like context propagation. Initial data shows AI agents often achieve success rates below 30%, highlighting the gap between code generation and production observability.
By Mark Silvester
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