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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.
Flex Reading List
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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
Article: Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG
In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank Fusion (RRF) that combines BM25 and vector results, can enhance the search solution.
By Aaditya ChauhanGoogle Workspace CLI: Unified Command-Line Tool Built for Humans and AI Agents
Google has released a new CLI for Google Workspace, offering a unified interface for various services like Drive, Gmail, and Calendar. Built in Rust, the tool dynamically adjusts to API changes and features over 100 bundled skills. It requires Node.js and a Google Cloud project for setup. Initial community feedback is mixed, highlighting both its dynamic capabilities and setup challenges.
By Daniel CurtisJava News Roundup: OpenJDK JEPs, Hazelcast, Quarkus, Hibernate, Koog, JHipster, Introducing Endive
This week's Java roundup for May 25th, 2026, features news highlighting: lifecycle changes with two of the JEPs that were targeted for JDK 27; the GA release of Koog 1.0; point releases of Hazelcast, Quarkus, Hibernate and JHipster; the eighth milestone release of Spring AI 2.0; and introducing Endive, a JVM-native WebAssembly (Wasm) runtime.
By Michael RedlichClaude Code Adds Dynamic Workflows for Parallel Agent Coordination
Anthropic introduced Dynamic Workflows, a new capability for Claude Code designed to handle complex software engineering tasks by coordinating large numbers of AI agents within a single workflow. The feature allows Claude to dynamically create orchestration scripts, break work into subtasks, run them in parallel, and validate results before presenting a final answer.
By Robert KrzaczyńskiShopify Reports 15X Faster Graphql Execution with Breadth First Engine
Shopify introduced GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution. The redesign improves large-scale GraphQL performance with up to 15x faster field execution, 6x lower GC overhead, and +4s P50 latency gains. It focuses on execution-layer efficiency and batched resolver processing for high-cardinality commerce queries.
By Leela Kumili
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