Codetown ::: a software developer's community
JUG-AFRICA is an umbrella Group for Java User Groups located on the continent of 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.
Website: http://jug-africa.dev.java.net
Members: 12
Latest Activity: May 7, 2018
Every Java developer, in fact every software developer should have the opportunity to attend a technical conference every year or so. Increasingly, software conferences like Java One (now Code One) are becoming more broad and including multiple technologies. Ian Darwin is now publishing a great calendar of Java-related conferences. Here's the link: …Continue
Tags: darwin, ian, codetown, conferences, java
Started by Michael Levin May 7, 2018.
Hey, do you know that there's a shiny, new JUG-Africa portal on the Oracle Community site? Check it out here: https://community.oracle.com/groups/jug-africa-social-groupHé, savez-vous qu'il ya un , nouveau portail brillant JUG - Afrique sur le site Oracle Community ? Check it out ici:…Continue
Started by Michael Levin Nov 18, 2015.
If you're a JUG member, the JavaOne event team wants you to know there's a special discount for you:"We are offering our JUG’s a special discount for the month of June to register for JavaOne 2014. The discount will provide an additional $200 savings off the current Early Bird price of $1,650. This gives a total savings of $600 off the on-site price.JUG members should use the code DJU4.Continue
Tags: jug, j1, discount, codetown, Javaone
Started by Michael Levin Jun 5, 2014.
Check out these cool submissions to the Africa Android Challenge:http://www.androidchallenge.org/index.php?option=com_content&view=article&id=49The Africa Android Challenge is an opportunity to discover the best developers and Android experts on the African continent. The…Continue
Tags: senejug, moroccojug, jug-africa, codetown, android
Started by Michael Levin Mar 19, 2012.
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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.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern architectures, breaks down a five-layer evaluation stack spanning infrastructure and UX, and shares a diagnostic maturity model to help engineering leaders eliminate silent semantic failures.
By Mallika Rao
The Cloud Native Computing Foundation has highlighted a new AI-assisted migration approach that enabled engineers to migrate 60 ingress-nginx resources to Higress in roughly 30 minutes, demonstrating how artificial intelligence is increasingly being applied to modernize Kubernetes networking and gateway infrastructure.
By Craig Risi
GitHub reports cutting token costs in agentic CI workflows by up to 62% by pruning unused MCP tools, swapping some MCP calls for gh CLI, and running daily “auditor” and “optimizer” agents. A token-usage.jsonl artefact and an Effective Tokens metric help track spend across models and spot regressions.
By Mark Silvester
Trisha Ballakur discusses her journey from a backend software engineer to CTO and CEO, using her startup Pointz as a case study. She explains how to implement bottom-up customer discovery to find product-market fit, effectively delegate to global contractors to reduce build times, customize open-source repos like Valhalla, and apply engineering test-case models to business development.
By Trisha Ballakur
AI bias mirrors human bias; both stem from our language and lived experiences. Ethics and AI are inseparable, but AI changes affordances, making harmful actions easier to carry out. The EU regulations apply to AI, since digital products are products. The ultimate goal is accountability: companies must ensure transparency, and laws should favor using the simplest AI that gets the job done.
By Ben Linders
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