December 2021 Blog Posts (3)

What are the top Web Development Technologies and Frameworks for 2021?

What are the top Web Development company in USA Technologies and Frameworks for 2021? There are many new technologies coming out every year, but not all of them will be around by 2021. The following list of technologies and frameworks will continue to be popular in the coming years. Most of them are still very new, which makes it difficult to predict what will happen with…

Continue

Added by Tagline Infotech on December 29, 2021 at 10:56pm — No Comments

Log4J Security Issue

https://apple.news/AakyMLdB9TcOiLXRyUTPcGQ

Added by Michael Levin on December 12, 2021 at 8:09am — No Comments

This FREE online Java conference is tomorrow!

This FREE online Java conference is tomorrow!

Visit https://www.accelevents.com/e/2021jconfdev to see the full agenda for the day as well as all session descriptions and speaker bios. It's free so no need for FOMO. The conference runs from 9:00 PM CST to 5:00 PM CST (3:00 PM UDT - 11:00 PM UDT

Added by Michael Levin on December 8, 2021 at 11:51am — No Comments

Monthly Archives

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

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.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Article Series - AI Assisted Development: Real World Patterns, Pitfalls, and Production Readiness

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

How CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation

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

Anthropic announces Claude CoWork

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

Tracking and Controlling Data Flows at Scale in GenAI: Meta’s Privacy-Aware Infrastructure

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

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

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

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service