Codetown
Codetown ::: a software developer's community
Want to get involved with Gatorjug leadership?
Hello GatorJug!
Do you want to sponsor a meeting or give a presentation? Contact Mike Levin at 321-252-9322 or at Codetown, mike@codetown.com or @mikelevin
Dan and I would love some help with Jug organization. It's a great experience. Just let me know and I'll help you lead a meeting, promote it, get speakers, sponsors, venues and more.
I'm going to Java One, the big Java conference that happens annually in San Francisco. I have some good discount codes if you want to go.
All the best,
Mike
Views: 45
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
Agoda Integrates macOS Infrastructure with Kubernetes
Agoda recently detailed how they integrated their macOS infrastructure with Kubernetes. This was accomplished by developing the macOS Virtualization Kubelet (macOS-vz-Kubelet), a tool designed to manage macOS workloads within a Kubernetes environment.
By Aditya KulkarniPresentation: The Time is Now: Delight Your Developers with User-Centric Platforms & Practices
Ana Petkovska discusses creating platform teams, establishing the team API, engagement of early adopters, easing adoption and providing a high quality product.
By Ana PetkovskaDeepSeek Open-Sources DeepSeek-V3, a 671B Parameter Mixture of Experts LLM
DeepSeek open-sourced DeepSeek-V3, a Mixture-of-Experts (MoE) LLM containing 671B parameters. It was pre-trained on 14.8T tokens using 2.788M GPU hours and outperforms other open-source models on a range of LLM benchmarks, including MMLU, MMLU-Pro, and GPQA.
By Anthony AlfordArticle: A Framework for Building Micro Metrics for LLM System Evaluation
LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.
By Denys LinkovGoogle Releases Experimental AI Reasoning Model
Google has introduced Gemini 2.0 Flash Thinking Experimental, an AI reasoning model available in its AI Studio platform.
By Daniel Dominguez
© 2025 Created by Michael Levin.
Powered by
