Codetown ::: a software developer's community
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| Discussions Replied To (3) | Replies | Latest Activity |
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"During your presentation I wasn't fully following your logic as I don't deal with Cl…"Kevin Neelands replied Feb 16, 2010 to Instant Runoff Voting - Contest #2 |
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Apr 5, 2010 Reply by Dan Lackey |
"Am I too late? I think Eric and Dan may already be tied to win this contest. Regardl…"Kevin Neelands replied Feb 11, 2010 to Instant Runoff Voting - Contest #2 |
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Apr 5, 2010 Reply by Dan Lackey |
"Extend the deadline a week or two and I might take a shot. Today's schedule revolves…"Kevin Neelands replied Dec 27, 2009 to Wari - Contest #1 |
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Feb 17, 2010 Reply by Lamine Ba |
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.
Check out the Codetown Jobs group.

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 Bhattacharya
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 Simone
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 Risi
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
Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and 27B parameter variants designed to support machine translation across 55 languages and to run on platforms ranging from mobile and edge devices to consumer hardware and cloud accelerators.
By Daniel Dominguez
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