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JavaScript Village

JavaScript and the world of technologies that work along with it. 

Members: 1
Latest Activity: Jun 22, 2017

About the JavaScript Village

Don't you think it's about time we started a JavaScript group? JavaScript has exploded. At this point, that's an understatement. We're going to focus on the whole JavaScript world here and subgroups will fall out later. HTML5, CSS, Node, Express, AngularJS, the list seems to go on forever. This is a work in progress, so stay tuned as we grow. Join this group to keep up with the latest content.

Discussion Forum

Uber Case Study - Using Node.js

I was looking around for case studies about companies using Node and ran across this one. Uber's architecture involves Node. This discussion is a look at how the decisions were made to change the…Continue

Tags: js, javascript, codetown, node

Started by Michael Levin Jun 22, 2017.

Know Node?

If you're interested in Node.js, this is a great starting point. Ryan Dahl is the author. This is a video of his intro presentation.…Continue

Started by Michael Levin Feb 18, 2017.

Welcome to JavaScript Village!

You're going to love it here! Like minded people and a mind boggling assortment of…Continue

Tags: codetown, javascript

Started by Michael Levin Feb 18, 2016.

Comment Wall

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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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

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

Sixteen Claude Agents Built a C Compiler Without Human Intervention... Almost

In an effort to probe the limits of autonomous software development Anthropic used sixteen Claude Opus 4.6 AI agents to build a Rust-based C compiler from scratch. Working in parallel on a shared repository, the agents coordinated their changes and ultimately produced a compiler capable of building the Linux 6.9 kernel across x86, ARM, and RISC-V, as well as many other open-source projects.

By Sergio De Simone

From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response

A recent article by Google Cloud SREs describes how they use the AI-powered Gemini CLI internally to resolve real-world outages. This approach improves reliability in critical infrastructure operations and reduces incident response time by integrating intelligent reasoning directly into the terminal-based operational tools.

By Renato Losio

Firestore Adds Pipeline Operations with Over 100 New Query Features

Google has overhauled Firestore’s query engine, introducing "Pipeline operations" that enable complex server-side aggregations and array unnesting. The update shifts Firestore Enterprise toward an optional indexing model, allowing architects to prioritize write speed and lower costs. While it brings parity with MongoDB-style aggregations, the preview currently lacks real-time and emulator support.

By Steef-Jan Wiggers

Nuxt Studio Released: Open Source CMS for Content Editing in Production

Introducing Nuxt Studio: the ultimate open-source content management solution for Nuxt websites, offering a powerful self-hosted module for complete control over your content. With an intuitive visual editor, real-time previews, and seamless Git integration, elevate your development workflow while bridging the gap for content creators. Unleash your team's potential today!

By Daniel Curtis

Presentation: Building Embedding Models for Large-Scale Real-World Applications

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the transformer-based architecture, contrastive learning techniques, and the process of distilling large language models into production-ready student models. He shares insights on optimizing query latency, handling document indexing, and evaluating retrieval quality.

By Sahil Dua

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