Codetown ::: a software developer's community
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.
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.
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.
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.
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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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Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.
By Sudeep Das, Pradeep Muthukrishnan
PDF table extraction often looks easy until it fails in production. Real bank statements can be messy, with scanned pages, shifting layouts, merged cells, and wrapped rows that break standard Java parsers. This article shares how we redesigned the approach using stream parsing, lattice/OCR, validation, scoring, and selective ML to make extraction more reliable in real banking systems.
By Mehuli Mukherjee
Cloudflare's Project Think introduces a new framework for AI agents, shifting from stateless orchestration to a durable actor-based infrastructure. It features a kernel-like runtime enabling agents to manage memory and run code securely. Innovations include Fibers for checkpointing progress and a Session API for relational conversations, enhancing agent efficiency and resilience.
By Patrick Farry
LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.
By Leela Kumili
Cheng Lou, a Midjourney engineer, recently released Pretext, a 15KB open-source TypeScript library that measures and lays out text without browser layout reflows, enabling advanced UX/UI patterns like infinite lists, masonry layouts, and scroll position anchoring to run at 60-120 fps. Pretext was built using an AI loop that reverse-engineered the DOM’s layout calculations.
By Bruno Couriol
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