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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In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are discovering that the challenge extends beyond model performance to include architecture, process, and accountability. This transition is redefining what constitutes good software engineering.
By Arthur Casals
To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be treated as untrusted, says Niv Rabin, principal software architect at AI-security firm CyberArk. His team developed an approach based on instruction detection and history-aware validation to protect against both malicious input data and context-history poisoning.
By Sergio De Simone
Introducing Claude Cowork: Anthropic's groundbreaking AI agent revolutionizing file management on macOS. With advanced automation capabilities, it enhances document processing, organizes files, and executes multi-step workflows. Users must be cautious of backup needs due to recent issues. Explore its potential for efficient office solutions while ensuring data integrity.
By Andrew Hoblitzell
Meta has revealed how it scales its Privacy-Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using large-scale lineage tracking, PrivacyLib instrumentation, and runtime policy controls, the system enables consistent privacy enforcement for AI workloads like Meta AI glasses without introducing manual bottlenecks.
By Leela Kumili
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively decompose and process inputs, and can handle prompts up to 100x longer than base LLMs.
By Anthony Alford
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