Welcome to the new OrlandoJUG social network!


I've tried to bring this community together a variety of ways including putting the JUG on the map, revisions to the legacy OrlandoJUG website, starting various mailing lists and discussion groups, the blogs, podcasts and the jobs mailing list. It's all been good, but fragmented. All the legacy lists are still in place. You're going to love this new site! What you see here is running a Java backend and uses the new OpenSocial API.

Some of you have visited Zoobird, the experimental social network I've been running in the background to flesh out the nuances of online communities. It's going well and the members like it. That's what I had hoped. So, dig in and have a good time here with this online community. You won't see all the functionality at once. There's a lot to learn. And, it's going to change with time.

One of my favorite sayings goes "Clear understandings lead to long friendships". This is a technical community. If you have jobs to post or advertising, the same *other* avenues still exist: the JUG Jobs mailing list, sponsoring a meeting, etc...

Having a good time and not taking ourselves too seriously - that's what this is all about. Dig in! Go nuts! I have a feeling the climate in CodeTown is changing...

All the best,

Michael Levin

Chairman, OrlandoJUG

Views: 19

Comment

You need to be a member of Codetown to add comments!

Join Codetown

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…
Continue

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.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Pinterest Reduces Spark OOM Failures by 96% Through Auto Memory Retries

Pinterest Engineering cut Apache Spark out-of-memory failures by 96% using improved observability, configuration tuning, and automatic memory retries. Staged rollout, dashboards, and proactive memory adjustments stabilized data pipelines, reduced manual intervention, and lowered operational overhead across tens of thousands of daily jobs.

By Leela Kumili

Presentation: Duolingo's Kubernetes Leap

Franka Passing discusses the architectural shift of Duolingo’s 500+ backend services to Kubernetes. She explains the move toward GitOps with Argo CD, the transition to IPv6-only pods, and the "cellular architecture" used to isolate environments. She shares "reports from the trenches" on managing developer trust, navigating AWS rate limits, and productionizing early adopter services.

By Franka Passing

Article: A Better Alternative to Reducing CI Regression Test Suite Sizes

How can you focus in a sea of results from a large regression test suite? This article describes a stochastic approach that relies on some degree of redundancy in your CI regression test set. This approach does not guarantee you will catch every bug every time, but it gives you your best bet of not missing the subtle signatures of all the bugs uncovered by your CI regression test suite runs.

By James Bornefelt Westfall

Podcast: Context Engineering with Adi Polak

In this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows AI systems to be stateful.

By Adi Polak

Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark

A 600-run benchmark by Ruby committer Yusuke Endoh tested Claude Code across 13 languages, implementing a simplified Git. Ruby, Python, and JavaScript were the fastest and cheapest, at $0.36- $0.39 per run. Statistically typed languages cost 1.4-2.6x more. Adding type checkers to dynamic languages imposed 1.6-3.2x slowdowns. Full dataset available on GitHub.

By Steef-Jan Wiggers

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service