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

pnpm 11 Release Candidate: ESM Distribution, Supply Chain Defaults and a New Store Format

pnpm 11 RC has been released, featuring significant changes in performance, security, and configuration. Key updates include an SQLite-backed store index, tighter security defaults, and a consolidated build script setting. It now requires Node.js v22 or later. Global installs are isolated by default, and new commands enhance usability. Migration guidance is available in the documentation.

By Daniel Curtis

Anthropic Introduces Managed Agents to Simplify AI Agent Deployment

Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns like orchestration, sandboxing, state management, and credentials. The system supports long-running multi-step workflows with external tools, error recovery, and session continuity via a meta-harness architecture.

By Leela Kumili

Slack Rebuilds Notification System, Reports 5X Increase in Settings Engagement

Slack has rebuilt its notification system with a unified architecture that separates activity from delivery, improving consistency across platforms. The redesign simplifies preferences, preserves legacy settings through transformation, and resulted in a 5x increase in user engagement with notification settings along with reduced support tickets.

By Leela Kumili

GitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses

GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.

By Craig Risi

Presentation: Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash

Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.

By Sudeep Das, Pradeep Muthukrishnan

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