Codetown ::: a software developer's community
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EasyBThis just in from Luis Espinal of MJUG: http://www.easyb.org/ The EasyB syntax for writing stories and specifications is a lot more succ… Started by Michael Levin |
0 | Jul 27, 2011 |
A file poller implementation in ScalaWant to see how a file poller in Scala looks like? Check out http://www.jroller.com/thebugslayer/entry/a_simple_filepoller_in_scala Started by Zemian Deng |
0 | Mar 7, 2009 |
Hello worldPerhaps I should have post this as my first message to the group, but I will add it anyway for completeness. Or in case someone wants to tr… Started by Zemian Deng |
0 | Mar 3, 2009 |
Simplifying Java Exception with ScalaOne feature of Scala is it reuse Java's Exception class hierarchies, but much easier to use. For one thing, it treats Exception as "uncheck… Started by Zemian Deng |
0 | Mar 3, 2009 |
Getting started with Scala GroupHi there, I started the Scala group today. If you are interested in this programming language and like to learn, share or discuss any topi… Started by Zemian Deng |
0 | Feb 28, 2009 |
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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Hugging Face has released the first candidate for Transformers v5, marking a significant evolution from v4 five years ago. The library has grown from a specialized model toolkit to a critical resource in AI development, achieving over three million installations daily and more than 1.2 billion total installs.
By Robert Krzaczyński
Now stable, Ax is an open-source platform from Meta designed to help researchers and engineers apply machine learning to complex, resource-intensive experimentation. Over the past several years, Meta has used Ax to improve AI models, accelerate machine learning research, tune production infrastructure, and more.
By Sergio De Simone
Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to choose managed services where operational complexity was highest, while maintaining custom infrastructure where control mattered most, offers a pragmatic alternative to unified platform strategies.
By Eran Stiller
AWS Transform Custom revolutionizes code modernization with AI-driven, out-of-the-box transformations for Java, Node.js, and Python. This enterprise-focused tool accelerates application upgrades by up to 5x while learning from organizational nuances to deliver high-quality, repeatable transformations.
By Steef-Jan Wiggers
Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk.
By Sriram Madapusi Vasudevan
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