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Flex Loft
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The Flex Loft is a place Flex coders can come to share ideas, ask questions and share tips about Flex, a powerful user interface programming environment. Join us and explore this rich tool.
Members: 13
Latest Activity: Aug 2, 2010
Discussion Forum
Adobe Users Group of Greater Orlando 5 Replies
OK, reposting this to a more permanent home...If you're interested in Flex and live near Orlando, there's an Adobe Users Group here that meets the first Monday of each month at DeVry. The meetings…Continue
Tags: Orlando, group, users, flex, adobe
Started by Greg Groves. Last reply by Matthew Zimmer Oct 7, 2009.
Developing Rich Internet Applications (RIA’s) by combining Flex with Turbogears.
Fred Sells did this presentation for the OrlandoJUG. Here's the writeup and I'll attach the source code to this discussion so we can work through it. Stay tuned for the code!"Flex is a (mostly) open…Continue
Tags: Orlandojug, Fred Sells, turbogears, python, flex
Started by Michael Levin Feb 4, 2009.
Deploying a Flex app
I'm working my way through "First Steps in Flex", by Bruce Eckel and James Ward. So far, I'm on the "Item Renderers" chapter. Of course, at this point I am already thinking about how I'm going to…Continue
Tags: tutorial, flex, deployment, webservers, programming
Started by Michael Levin Feb 1, 2009.
First Steps in Flex
"First Steps in Flex", by Bruce Eckel and James Ward is an intro to Flex. The nice thing about this book is that you can be…Continue
Tags: webdev, tutorial, programming, eckel, books
Started by Michael Levin Feb 1, 2009.
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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
Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated via an orchestration layer. It reduces operational load, improves resolution speed, and shifts engineering effort from firefighting to platform engineering work.
By Leela KumiliPresentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams
Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the balance between empowering decentralized teams to choose the best models and maintaining centralized oversight for security, RBAC, and cost control. Explore open-source solutions like LiteLLM and Doubleword to streamline your AI infra.
By Meryem ArikOpenAI Outlines WebRTC Architecture for Low-Latency Voice AI at Scale
OpenAI recently outlined how it adapted WebRTC for low-latency voice AI at global scale. The new architecture replaced a conventional media termination model with a relay-transceiver design better suited to Kubernetes and cloud load balancers. It keeps WebRTC session state in a dedicated transceiver layer while using relays to reduce public UDP exposure and keep media routing close to users.
By Eran StillerPip 26.1 Ships Dependency Cooldowns and Experimental Lockfile Support to Combat Supply Chain Attacks
Pip 26.1 ships dependency cooldowns that enforce a waiting period before newly published packages can be installed, and experimental pylock.toml lockfile support from PEP 751. Research shows a 7-day cooldown would have prevented 8 out of 10 analyzed supply chain attacks from reaching end users.
By Steef-Jan WiggersAnthropic Introduces MCP Tunnels for Private Agent Access to Internal Systems
Anthropic has expanded its Claude Managed Agents platform with two enterprise-focused capabilities: self-hosted sandboxes and MCP tunnels. The release aims to address a recurring challenge in enterprise AI deployments, where organizations want to use autonomous agents but cannot allow execution environments or internal systems to leave their security perimeter.
By Robert Krzaczyński
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