Codetown
Codetown ::: a software developer's community
Adam Davis's Blog (4)
Book Giveaway
Hi! Is anyone interested in one of these books? If so please follow/retweet and tell me which book. Thanx!…
Added by Adam Davis on November 5, 2018 at 9:30pm — No Comments
Learning Groovy and Self-publishing
What is Groovy and why should I care?
Hello again, it's me, Adam. Earlier this year, I finished my self-published book, Learning Groovy,…
ContinueAdded by Adam Davis on May 25, 2016 at 3:00pm — No Comments
Java 7 EOL
Just a reminder: Oracle plans to stop updating Java 7 in April of this year (next month).
As outlined in the Oracle JDK Support Roadmap, after April 2015, Oracle will not post further updates of Java SE 7 to its public download sites.
This might be a good time to read …
ContinueAdded by Adam Davis on March 4, 2015 at 10:22pm — No Comments
Hot New Language (Groovy)
Slightly modified from original post: http://adamldavis.com/
There’s a hot new programming language that I’m excited about. It can be used dynamically or statically-typed, your choice. It supports functional programming constructs, including first-class functions, currying, and more. It has multiple-inheritance, type inference, and meta-programming. It also integrates really well…
ContinueAdded by Adam Davis on February 28, 2015 at 3:00pm — 3 Comments
Latest Blog Posts
Most Popular Blog Posts
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Google DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the number of supported languages increases.
By Robert KrzaczyńskiPresentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.
By Moumita BhattacharyaSwift Cross-Platform Framework Skip Now Fully Open Source
After three years of development, the team behind Skip, a solution designed to create iOS and Android apps from a single Swift/SwiftUI codebase, has announced their decision to make the product completely and open source, in order to foster adoption and community contribution.
By Sergio De SimoneRailway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure
Railway’s engineering team published a comprehensive guide to observability, explaining how developers and SRE teams can use logs, metrics, traces, and alerts together to understand and diagnose production system failures.
By Craig RisiGoogle BigQuery Adds SQL-Native Managed Inference for Hugging Face Models
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.
By Steef-Jan Wiggers
© 2026 Created by Michael Levin.
Powered by
