Codetown ::: a software developer's community
Everyone likes a challenge. How about a contest? If you like to flex your muscle, why not join us here at Contest Town. You'll find some challenging contests to write code for. And, you may find some excellent prizes, as well. Come on in and show us
Members: 9
Latest Activity: Apr 13, 2010
Instant Runoff Voting (IRV) is a fascinating way to run an election. The basic idea is that voters rank the candidates and the votes for…Continue
Tags: Instant Runoff Voting, IRV, contest
Started by Michael Levin. Last reply by Dan Lackey Apr 5, 2010.
On President Obama’s first full day in office, he called for recommendations to make the Federal Government more transparent, participatory, and collaborative. Through the…Continue
Started by Michael Levin Apr 4, 2010.
Senegal is a land of magic and mystery. People there use their heads for recreation! How? Well, here's an example. The photo you see above is a game called Wari I got in Kaolack, Senegal. I went to…Continue
Started by Michael Levin. Last reply by Lamine Ba Feb 17, 2010.
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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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