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- How did you hear about Codetown?
- Mike Levin
- What are your main interests in software development?
- Full Stack Development in Java
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
Nuxt Introduces Native Request Cancellation and Async Handler Extraction for Performance Gains
Nuxt 4.2 elevates the developer experience with native abort control for data fetching, improved error handling, and experimental TypeScript support. With a 39% reduction in bundle sizes and a streamlined app directory, this release enhances performance and project organization, positioning Nuxt as a leading choice for full-stack web applications built on Vue.js.
By Daniel CurtisOpenAI and Anthropic Donate AGENTS.md and Model Context Protocol to New Agentic AI Foundation
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By Anthony AlfordPinecone Introduces Dedicated Read Nodes in Public Preview for Predictable Vector Workloads
Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database designed to deliver predictable performance and cost at scale for high-throughput applications such as billion-vector semantic search, recommendation systems, and mission-critical AI services.
By Craig RisiArticle: Building Streaming Infrastructure That Scales: Because Viewers Won't Wait Until Tomorrow
In streaming, the challenge is immediate: customers are watching TV right now, not planning to watch it tomorrow. When systems fail during prime time, there is no recovery window; viewers leave and may not return. One and a half years ago, at ProSiebenSat.1 Media SE, we faced the challenge of scaling streaming applications for international users.
By Daniele FrascaTarget Improves Add to Cart Interactions by 11 Percent with Generative AI Recommendations
Target has deployed GRAM, a GenAI-powered accessory recommendation system for the Home category, using large language models to prioritize product attributes and capture aesthetic cohesion. The system helps shoppers find compatible accessories, integrates human-in-the-loop curation, and achieved measurable improvements in engagement and conversion.
By Leela Kumili
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Hey, Ramya: Do you think you could post that recording of Jim's talk you made the other night? There's a link to attach a file in the Discussion editor. If you post a Discussion, look at the bottom of the editor and you can attach up to 3 files. That would be nice because people are asking for it if we have one.
Hi Ramya and welcome to Codetown! Now, you can join some groups like the OrlandoJUG group! Hope to see you post content on your blog here soon.
All the best, Mike