Codetown ::: a software developer's community
35 members Latest Activity: Jul 20, 2019 Android is an open Java-based platform to use for developing mobile apps. Do you believe mobile computing is the wave of the future? We do!
40 members Latest Activity: Jan 29, 2015 iPhone development is going nuts! All the apps, all the possibilities. Objective-C is the language. The SDK is out. Shops are springing up everywhere…
14 members Latest Activity: Dec 5, 2012 Ruby has made an impact on patterns of software development with its elegant syntax and Rails, an intelligent framework designed to simplify coding.
13 members Latest Activity: Aug 2, 2010 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…
15 members Latest Activity: Jul 14, 2018 Python. Life's better without braces.
25 members Latest Activity: Feb 28, 2015 Using Groovy and Grails? Discuss it here.
9 members Latest Activity: Feb 28, 2015 Love Jython? Can't get enough JRuby? Groovy? Dynamic languages on the JVM can set you free! Scala? Sure! Let us know what you think here in the Other…
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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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
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