Codetown ::: a software developer's community
Time: July 25, 2019 from 6pm to 8pm
Location: Starter Studio
Street: 101 S Garland Room 108
City/Town: Orlando
Website or Map: http://starterstudio.org
Phone: 3212529322
Event Type: ojug, meetup
Organized By: Michael Levin
Latest Activity: Jul 16, 2019
Join us for a Reactive Spring talk featuring Miguel Mendez.
Miguel Mendez is a software engineer from Orlando Florida. He currently works for FlexEngage as a Lead Developer.
With more than 20 years of experience in the business he is passionate about web technologies, user experience and distributed systems.
As a Domain Driven Design practitioner he believes in the importance of understanding the core domain in order to build useful software.
Reactive programming has been getting lots of attention lately, Projects like Reactive Extensions (Rx) library in the .NET, RxJS, RXJava, and lately Project Reactor have brought Reactive programming into the main scene. Reactive programming is basically programming with asynchronous data streams.
Spring 5 (first milestone June 2016) has reactive features built into it, including tools for building HTTP servers and clients.
We will see a very familiar programming model using annotations to decorate controller methods to handle HTTP requests, for the most part handing off the dispatching of reactive requests and back pressure concerns to the framework. We will also take a look at a more functional way of building web applications on Spring.
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.
Check out the Codetown Jobs group.

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
© 2026 Created by Michael Levin.
Powered by
RSVP for OrlandoJUG ::: Reactive Spring to add comments!
Join Codetown