I have just created JUG-AFRICA wich will be an umbrella Java User Group (JUG) for the entire continent that country JUGs or individual JUGs can affiliate with.
Like Congo JUG, Togo JUG, RDC-JUG (Kinshasa) and Cameroon JUG are on the track to join JUG-AFRICA.

Why JUG-AFRICA ?

The idea behind JUG-AFRICA is to allow JUGs located within Africa to collaborate globally in ways that will ultimately benefit Java developer
communities locally.
JUG-AFRICA is intended to promote communication between JUGs across
continent.

Individual JUGs will continue to function normally. Affiliation does not in any way involve subordination of local JUGs under JUG-AFRICA. JUG-AFRICA exists solely to serve and support the Affiliated JUGs.

Some benefits to think about :

* Help new JUGs to grow and introducing JUG Leaders to JUG-Leaders mailing list.
* Organizing regional events throughout the continent
* Searching for sponsors and speakers
* Negotiating bulk discounts (for events, books, courses, certifications etc.) which can be made available to all Affiliates.

How to affiliate your JUG :

1. Designate a member of your JUG to serve as JUG-AFRICA Contact
2. To subscribe JUG-AFRICA Contact to the mailing list


PS : Thanks JUG-USA for the inspiration.

Views: 141

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

OpenAI at QCon AI NYC: Fine Tuning the Enterprise

At QCon AI NYC 2025, Will Hang from OpenAI unveiled Agent RFT—a cutting-edge reinforcement fine-tuning approach for tool-using agents. By optimizing prompts and tasks before model adjustments, Hang showcased effective strategies to enhance decision-making and efficiency, emphasizing a balanced grading system. The session revealed a future where smarter agents reduce latency and improve outcomes.

By Andrew Hoblitzell

Presentation: Scaling Cloud and Distributed Applications: Lessons and Strategies From chase.com, #1 Banking Portal in the US

Durai Arasan explains the architectural strategies used to scale Chase.com to 67M+ active users. He discusses achieving high resilience through multi-region isolation, slashing latency by 71% via edge computing, and utilizing automated "infrastructure repaving" to eliminate security drift. He shares vital lessons on self-healing observability and building an engineering-first culture.

By Durai Arasan

AWS Debuts “DevOps Agent” to Automate Incident Response and Improve System Reliability

AWS recently announced the public preview of AWS DevOps Agent, a new "frontier agent" that aims to help organizations react more quickly to production incidents, identify root causes, and proactively strengthen system reliability.

By Craig Risi

Visual Studio 2026 Released with AI-Native IDE and Performance Boost

Microsoft has officially launched Visual Studio 2026 (version 18), marking what they call the first ‘AI‑native’ release of its flagship integrated development environment. The general availability rollout follows extensive validation via the Insiders channel and reflects a blend of performance optimisations, deep GitHub Copilot integration, and tooling updates across core languages and workloads.

By Edin Kapić

Article: NextGen Search - Where AI Meets OpenSearch Through MCP

In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search using OpenSearch and AI agents powered by Large Language Models (LLMs) and Model Context Protocol (MCP).

By Srikanth Daggumalli, Arun Lakshmanan

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service