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

Loading… Loading feed

Comment Wall

Comment

You need to be a member of SeneJUG Town to add comments!

 

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.

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

How OpenAI Built a Secure Windows Sandbox for Codex Agents

OpenAI details Codex Windows sandbox architecture, showing how SIDs, ACLs, restricted tokens, and dedicated sandbox accounts enable safe execution of autonomous coding tasks. The design balances isolation with real developer workflows and shows how OS security primitives must be composed for AI agents on local development environments.

By Leela Kumili

Presentation: Platform Teams Enabling AI - MCP/Multi-Agentic Tools Across Linkedin

LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering. They explain how to move beyond fragmented implementations by building platform abstractions for orchestration, structured context, and safe tooling like MCP. They share architectural insights from real-world coding, observation, and UI testing agents built at LinkedIn.

By Karthik Ramgopal, Prince Valluri

How Netflix Maps Thousands of Microservices in Real-Time

Netflix has shared details about Service Topology. This internal system creates and updates a live dependency graph for thousands of microservices. It helps engineers see how services connect and resolve issues more quickly. The system merges three separate data sources into a single, queryable graph. It updates almost in real-time as traffic patterns shift.

By Claudio Masolo

Dropbox Introduces Nova, an Internal Platform for Running AI Coding Agents at Scale

Dropbox has unveiled Nova, an internal platform designed to orchestrate and operationalize AI coding agents across the company's engineering workflows.

By Craig Risi

Google LiteRT-LM Speeds Up Local Inference Up to 2.2x With Gemma 4 Multi-Token Prediction

LiteRT-LM brings native support for Gemma 4 Multi-Token Prediction (MTP) drafters, enabling up to 2.2x faster inference. The framework is expanding beyond Kotlin and C++ adding support for new Swift and a JavaScript APIs.

By Sergio De Simone

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service