Information

SeneJUG Town

The SeneJUG is the West African Java Users Group. Our vibrant community meets in Dakar, Senegal. SeneJUG Town is our virtual meeting point. Ba beneen!

Website: http://www.senejug.com
Location: West Africa
Members: 7
Latest Activity: Jun 5, 2014

About SeneJUG Town

Welcome to SeneJUG Town, our community on the web. Here you will find a place to meet and socialize with your fellow JUG members. This community is a step beyond static HTML and mailing lists. Explore the features and you will find a rich environment that allows you to communicate far and leave a written record that will help the community well into the future.

SeneJUG Town is here for you. To begin with, you can customize your homepage. Each member has a blog. When you post a blog, it is also displayed on the Codetown homepage! You can create Discussions, add Comments, upload multimedia, join other Groups and use the powerful Invite feature to ask your friends and colleagues to join.

Since we're the West African JUG, a large group geographically, there are many distant members you can stay in touch with through this Group. Look for members in France and Morocco, too!

We look forward to seeing the miles between us grow smaller, virtually. All the best!

Lamine Ba and Michael Levin
Co-Chairmen, The West African JUG

Discussion Forum

JavaOne JUG Discount

Started by Michael Levin Jun 5, 2014.

Mangi Def (Hello) from Michael Levin

Started by Michael Levin Mar 25, 2012.

AFRICA ANDROID CHALLENGE - SUBMISSIONS ARE IN! 2 Replies

Started by Michael Levin. Last reply by Michael Levin Mar 19, 2012.

SeneJUG Reading List

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Members (7)

 
 
 

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.

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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

Presentation: Trustworthy Productivity: Securing AI-Accelerated Development

Sriram Madapusi Vasudevan discusses industry-converging patterns for securing autonomous AI agents in production. He explains the critical vulnerabilities hidden inside the ReAct loop across context, reasoning, and tool execution. He shares how to mitigate risks like memory poisoning and rogue tool execution using defense-in-depth strategies, LLM-as-a-judge critics, and MAESTRO threat modeling.

By Sriram Madapusi Vasudevan

Elastic Open-Sources Atlas Agent Memory Based on Cognitive Science

Elastic open-sourced Atlas, a system built on Elasticsearch that maintains three categories of memory for agents. Atlas integrates with agents via MCP and maintains per-user isolation of memories. When evaluated on question-answering capability, it scored 0.89 Recall@10.

By Anthony Alford

Microsoft Brings AI-Powered Vulnerability Remediation to Azure DevOps with Copilot Autofix

Microsoft has announced the limited public preview of Copilot Autofix for GitHub Advanced Security for Azure DevOps, extending AI-powered vulnerability remediation to teams using Azure Repos.

By Craig Risi

AWS Launches Lambda MicroVMs for Isolated Agent and User Code Execution

AWS launched Lambda MicroVMs, a new serverless compute primitive that runs each user session or AI agent in its own Firecracker virtual machine with hardware-level isolation, snapshot-based rapid launch, and state preservation for up to eight hours. Reddit community analysis found the minimum setup costs $3.03/day, roughly 9x Fargate spot pricing.

By Steef-Jan Wiggers

Article: Scaling Java-Based Real-Time Systems: The Hidden Tradeoffs of Event-Driven Design

Event-driven architecture promises scalability, but in Java-based real-time systems the tradeoffs only surface in production. Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, this article details where the design breaks down—state management, partition limits, deduplication, JVM tuning, cascading consumer failures—and the Redis-backed patterns that fixed each.

By Sagar Deepak Joshi

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