Codetown ::: a software developer's community
Time: October 12, 2016 from 6pm to 8pm
Location: TBA
Website or Map: http://www.gatorjug.org
Phone: 321-252-9322
Event Type: meeting
Organized By: Michael Levin
Latest Activity: Jan 19, 2016
Stay tuned as plans firm up...Jim Baker, Jython guy is hoping to join us in the Fall. What's Jython? It's Python on the Java Virtual Machine (JVM). Jim's the Jython guru. He's given great talks in the past here at GatorJug. Many of you know him. Jim is a practicing software developer, currently with Rackspace and formerly with Canonical. He's also a prof at Univ of Colorado. You can reach him right here at Codetown.
We normally meet on the 2nd Wed, but the date may adjust so Jim can also give a talk for the OrlandoJug.
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.

Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns like orchestration, sandboxing, state management, and credentials. The system supports long-running multi-step workflows with external tools, error recovery, and session continuity via a meta-harness architecture.
By Leela Kumili
Slack has rebuilt its notification system with a unified architecture that separates activity from delivery, improving consistency across platforms. The redesign simplifies preferences, preserves legacy settings through transformation, and resulted in a 5x increase in user engagement with notification settings along with reduced support tickets.
By Leela Kumili
GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.
By Craig Risi
Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.
By Sudeep Das, Pradeep Muthukrishnan
PDF table extraction often looks easy until it fails in production. Real bank statements can be messy, with scanned pages, shifting layouts, merged cells, and wrapped rows that break standard Java parsers. This article shares how we redesigned the approach using stream parsing, lattice/OCR, validation, scoring, and selective ML to make extraction more reliable in real banking systems.
By Mehuli Mukherjee
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