Codetown ::: a software developer's community
Time: August 24, 2017 from 6pm to 9pm
Location: Canvs Winter Park
Street: 101 S New York Ave Suite 201
City/Town: Winter Park
Website or Map: http://www.canvs.org
Phone: 321-252-9322
Event Type: orlando, jug, meeting
Organized By: Michael Levin
Latest Activity: Aug 25, 2017

Hello Orlando Juggies!
Adam Davis will give a presentation on Groovy at the groovy new Canvs Co-working space in Winter Park Thursday 8/24.
If you'd like to be a pizza sponsor and get attention on our 1500 member plus mailing list, www.Codetown.com and have the gratitude of lots of hungry coders, contact Mike at 321-252-9322. @mikelevin
Here's the abstract:
Start building powerful apps that take advantage of the dynamic scripting capabilities of the Groovy language. This talk covers Groovy fundamentals, such as using Groovy tools, working with the GDK, and some popular Groovy idioms. We’ll also cover more advanced aspects of Groovy, such as design patterns, writing DSLs in Groovy, and functional programming concepts in Groovy. If there’s still time, we’ll talk a little while about other great Groovy tools like Spock, Ratpack, Grails, and Gradle.

Adam is a software developer and author. Check out his books at at Packt Publishing,
![]()
Do you want to sponsor a meeting or give a presentation? Contact Mike Levin at 321-252-9322 or at Codetown, mike@codetown.com @mikelevin
Comment
Great meetup! Thanks to everyone who attended. Here are the slides: https://www.slideshare.net/AdamDavis30/learning-groovy-1-half-day-w...
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.

Kyra Mozley discusses the evolution of autonomous vehicle perception, moving beyond expensive manual labeling to an embedding-first architecture. She explains how to leverage foundation models like CLIP and SAM for auto-labeling, RAG-inspired search, and few-shot adapters. This talk provides engineering leaders a blueprint for building modular, scalable vision systems that thrive on edge cases.
By Kyra Mozley
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
© 2026 Created by Michael Levin.
Powered by
RSVP for OJUG - Groovy Programming with Adam Davis to add comments!
Join Codetown