Codetown
Codetown ::: a software developer's community
Come join KotlinTown!
Hey, I started a Kotlin group - check it out and join if you'd like! I just put up a page dedicated to Kotlin links, books, and more resources. Will add more features like popular frameworks and chat later on.
Comment
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Comment by Amanda Hinchman-Dominguez on May 12, 2018 at 11:18pm
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Ugh I know he's a grey fox
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Comment by Ed Burns on May 12, 2018 at 11:11pm
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Hadi Hariri is Hot
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Comment by Michael Levin on May 9, 2018 at 11:11am
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Wow, this looks great! Can't wait to try it out. Thanks, Amanda!
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
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Rachael Wonnacott explains why DevEx is a lever, not the destination. Discover the risks of treating your platform as an isolated product and learn how to balance trade-offs between technical expertise, productivity, and business impact for achieving enterprise-scale success.
By Rachael WonnacottBuoyant Announces MCP Support for Linkerd, Extending Service Mesh Capabilities to Agentic AI Traffic
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By Vivek YadavLinkedIn’s Migration Journey to Serve Billions of Users by Nishant Lakshmikanth at QCon SF
Engineering Manager Nishant Lakshmikanth showcased LinkedIn's transformation at QCon SF 2025, detailing a shift from legacy batch-based systems to a real-time architecture. By decoupling recommendations and leveraging dynamic scoring techniques, LinkedIn achieved a 90% reduction in offline costs, enhanced session-level freshness, and improved member engagement while future-proofing its platform.
By Steef-Jan WiggersSAM 3 Introduces a More Capable Segmentation Architecture for Modern Vision Workflows
Meta has released SAM 3, the latest version of its Segment Anything Model and the most substantial update to the project since its initial launch. Built to provide more stable and context-aware segmentation, the model offers improvements in accuracy, boundary quality, and robustness to real-world scenes, aiming to make segmentation more reliable across research and production systems.
By Robert Krzaczyński
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