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.

Docker Extensions boost developer speed but create a "visibility gap" by isolating telemetry. To meet enterprise needs, extensions must act as bridges to centralized platforms. This article details how to use OpenTelemetry, policy-as-code, and encryption to build secure pipelines. Learn to balance developer productivity with the governance required for scalable, compliant observability.
By Pragya Keshap
Airbnb's observability engineering team has published details of a large-scale migration away from StatsD and a proprietary Veneur-based aggregation pipeline toward a modern, open-source metrics stack built on OpenTelemetry Protocol (OTLP), the OpenTelemetry Collector, and VictoriaMetrics' vmagent. The resulting system now ingests over 100 million samples per second in production.
By Claudio Masolo
With the release of Gemma 4, Google aims to enable local, agentic AI for Android development through a family of models designed to support the entire software lifecycle, from coding to production.
By Sergio De Simone
Lyft has implemented an AI-driven localization system to accelerate translations of its app and web content. Using a dual-path pipeline with large language models and human review, the system processes most content in minutes, improves international release speed, ensures brand consistency, and handles complex cases like regional idioms and legal messaging efficiently.
By Leela Kumili
Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message passing" training process, and the technical pitfalls of graph data leakage. She shares how a hybrid architecture solved inference latency, delivering contextual embeddings to a downstream model.
By Mariia Bulycheva
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