Codetown
Codetown ::: a software developer's community
Michael Levin's Likes
June 2016
Why use Amazon's container service?
We all experience a common set of tasks when working in IT shops. Someone gets delegated…
Blog Why use Amazon EC2 (AWS) Container Services (Docker) 1 LikeMay 2016
March 2016
The Devoxx Poland call for papers closed!
es 3/31/16.…
Blog Devoxx Poland 1 LikeNovember 2015
Matt Raible just published the slide deck to his JHipster talk. What's…
August 2015
Tutorial on Apache Spark, movie recommendations with machine learning
This post discusses building a…
March 2015
Just a reminder: Oracle plans to stop updating Java 7 in April of this year (next month).
Blog Java 7 EOL 1 LikeAs outlined in…
February 2015
Slightly modified from original post: http://adamldavis.com/
There’s a hot new…
Blog Hot New Language (Groovy) 2 LikesNovember 2013
Not familiar with FLEX but this article has some interesting info on it. Another tool in the web developer's toolbox?…
Blog FLEX goes to Apache 1 LikeFebruary 2013
It may not adhere to the strict Java format of OJUG but was quite useful in learning more of the growing tools available to the web based developer.
Jackie Gleason answered this and…
July 2012
Gerrit Grunwald, aka @hansolo_ on twitter, has just ported his Swing based gauges and meters framework known as …
Blog JavaFX and SteelSeries gauges using FXML 1 LikeFebruary 2012
James Ward gave a great presentation on Heroku. The server of choice for Facebook developement. He commented on some attendees not being familiar with all the buzzwords he used. So we thought…
Blog Buzzword Bingo 1 Like Translate Codetown to Another Language There's a new tool on Codetown that lets you translate the entire site to…
January 2012
November 2011
http://blogs.oracle.com/java/entry/new_java_champion_michael_levin Blog Mike Levin ::: Java Champion 2 Likes
October 2011
September 2011
Here's a recap of what happened at the JCertif 2011 conference in Brazzaville…
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.
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
Presentation: Trustworthy Productivity: Securing AI-Accelerated Development
Sriram Madapusi Vasudevan discusses industry-converging patterns for securing autonomous AI agents in production. He explains the critical vulnerabilities hidden inside the ReAct loop across context, reasoning, and tool execution. He shares how to mitigate risks like memory poisoning and rogue tool execution using defense-in-depth strategies, LLM-as-a-judge critics, and MAESTRO threat modeling.
By Sriram Madapusi VasudevanElastic Open-Sources Atlas Agent Memory Based on Cognitive Science
Elastic open-sourced Atlas, a system built on Elasticsearch that maintains three categories of memory for agents. Atlas integrates with agents via MCP and maintains per-user isolation of memories. When evaluated on question-answering capability, it scored 0.89 Recall@10.
By Anthony AlfordMicrosoft Brings AI-Powered Vulnerability Remediation to Azure DevOps with Copilot Autofix
Microsoft has announced the limited public preview of Copilot Autofix for GitHub Advanced Security for Azure DevOps, extending AI-powered vulnerability remediation to teams using Azure Repos.
By Craig RisiAWS Launches Lambda MicroVMs for Isolated Agent and User Code Execution
AWS launched Lambda MicroVMs, a new serverless compute primitive that runs each user session or AI agent in its own Firecracker virtual machine with hardware-level isolation, snapshot-based rapid launch, and state preservation for up to eight hours. Reddit community analysis found the minimum setup costs $3.03/day, roughly 9x Fargate spot pricing.
By Steef-Jan WiggersArticle: Scaling Java-Based Real-Time Systems: The Hidden Tradeoffs of Event-Driven Design
Event-driven architecture promises scalability, but in Java-based real-time systems the tradeoffs only surface in production. Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, this article details where the design breaks down—state management, partition limits, deduplication, JVM tuning, cascading consumer failures—and the Redis-backed patterns that fixed each.
By Sagar Deepak Joshi
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