Codetown
Codetown ::: a software developer's community
Kevin Neelands's Discussions (32)
| Discussions Replied To (3) | Replies | Latest Activity |
|---|---|---|
"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 |
19 |
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 |
19 |
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 |
12 |
Feb 17, 2010 Reply by Lamine Ba |
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
Presentation: Your Platform is Not an Island: Embracing Evolution in Your Ecosystem
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
Buoyant, the company behind the open-source Linkerd service mesh, announced that Linkerd now supports the Model Context Protocol (MCP), making it the first service mesh to natively manage, secure, and observe agentic AI traffic in Kubernetes environments.
By Craig RisiPodcast: How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework
Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.
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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