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Ruby Town Discussions (6)
| Discussions | Replies | Latest Activity |
|---|---|---|
Best Ruby I.D.E?Just started with Ruby on Rails ( Rails 3) and I'm trying to figure out the best I.D.E. Here's what I've found so far: Eclipse / DLTK - w… Started by Kevin Neelands |
2 |
Dec 5, 2012 Reply by Kevin Neelands |
Opening Call for Proposal - RubyConf India 2012This just in from Satish N Kota of the Bangalore RUG: "Hello Folks,Lets begin the begin and in that spirit, call for talk proposals isop… Started by Michael Levin |
0 | Nov 24, 2011 |
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 |
HoboI read a fascinating thread (on the Bangalore RUG) there's a application builder for Rails called Hobo. "...It generates views by inspectin… Started by Michael Levin |
0 | Mar 25, 2010 |
Ruby on the JVMWho is using Ruby on the JVM? Please share your sweet successes with us. Started by Michael Levin |
2 |
Aug 20, 2009 Reply by Michael Levin |
Ruby and Cloud ComputingI'm embarking on an adventure. The mission is to discover all I can about cloud computing. I'm interested to hear anything you've learned… Started by Michael Levin |
0 | Jun 12, 2009 |
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.
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
Apple's Illusion of Thinking Paper Explores Limits of Large Reasoning Models
Apple Machine Learning Research published a paper titled "The Illusion of Thinking," which investigates the abilities of Large Reasoning Models (LRMs) on a set of puzzles. As the complexity of the puzzles increases, the researchers found that LRMs encounter a "collapse" threshold where the models reduce their reasoning effort, indicating a limit to the models' scalability.
By Anthony AlfordPresentation: A Framework for Building Micro Metrics for LLM System Evaluation
Denys Linkov shares lessons on preventing LLM production issues. He explains the flaws of single metrics, the importance of treating models as observable systems, building user-issue-alerting metrics, and focusing on business value. He emphasizes a "crawl, walk, run" approach to LLM metric maturity for successful, trust-building deployments.
By Denys LinkovGoogle DeepMind Unveils AlphaGenome: A Unified AI Model for High-Resolution Genome Interpretation
Google DeepMind has announced the release of AlphaGenome, a new AI model designed to predict how genetic variants affect gene regulation across the entire genome. It represents a significant advancement in computational genomics by integrating long-range sequence context with base-pair resolution in a single, general-purpose architecture.
By Robert KrzaczyńskiJakarta EE 11 Delivers One New Specification, 16 Updated Specifications and Modernized TCK
What was originally planned for a full GA release of Jakarta EE 11 in July 2024, only the Core Profile and the Web Profile were delivered in December 2024 and April 2025, respectively. And now, the Jakarta EE 11 Platform has been delivered featuring one new specification and a new TCK. Ed Burns, Release Coordinator for Jakarta EE 11, spoke to InfoQ about the release of Jakarta EE 11.
By Michael RedlichLogz.io and Dynatrace Innovations Shift Observability Into the AI Age
Major observability platform providers are integrating artificial intelligence into their monitoring systems, as enterprises look to their suppliers to reduce the manual work involved in keeping an eye on digital infrastructure. Companies have implemented AI-driven features designed to automate routine operational tasks and accelerate incident resolution processes.
By Matt SaundersSwitch to the Mobile Optimized View
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