Codetown ::: a software developer's community
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KotlinConf 2018 Slides!Links to all kotlinconf slides, for those eager to dive into the content this weekend! Conference had a lot of amazing talks on the hottes… Started by Amanda Hinchman-Dominguez |
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Oct 10, 2018 Reply by Amanda Hinchman-Dominguez |
Amanda's Giving a Talk at KotlinConf!Amanda is giving a talk at KotlinConf...tomorrow at 14:00 CEST - that's the time in Amsterdam. Here's the abstract https://kotlinconf.com/s… Started by Michael Levin |
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Oct 4, 2018 Reply by Amanda Hinchman-Dominguez |
KotlinConf 2018 - Conference Opening Keynote by Andrey BreslavTHE HYPE Started by Amanda Hinchman-Dominguez |
0 | Oct 4, 2018 |
KotlinConf 2017 - A View State Machine for Network Calls on Android by Amanda HillStarted by Amanda Hinchman-Dominguez |
0 | Sep 15, 2018 |
KotlinConf 2017 Highlight of the Week - Bootiful Kotlin by Josh LongStarted by Amanda Hinchman-Dominguez |
0 | Sep 11, 2018 |
KotlinConf 2017 Highlight of the Week - Kotlin for Data Science by Thomas Nield"Data Science" is a broad buzzword encompassing the study and analysis of data, often using programming tools like R, Python, and Scala. Bu… Started by Amanda Hinchman-Dominguez |
0 | Aug 31, 2018 |
Chicago GDG Workshop on Kotlin and TornadoFX - recap!Hey friends - If you'd like to catch up with Chicago GDG on the TornadoFX workshop, here is a live stream as well as a link to the github… Started by Amanda Hinchman-Dominguez |
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Aug 23, 2018 Reply by Michael Levin |
Kotlin Thursdays: Introduction to Android and KotlinKotlin Thursdays: Introduction to Android and Kotlin As I near the end of the first season of Kotlin Thursdays I wanted to introduce anothe… Started by Amanda Hinchman-Dominguez |
0 | Jul 6, 2018 |
Kotlin Thursdays: Kotlin and Spring BootKotlin and Spring Boot This week we examine Kotlin and Spring Boot. In the past, I've worked frontend for Spring JPA, but this is my first… Started by Amanda Hinchman-Dominguez |
0 | Jun 8, 2018 |
Kotlin Thursdays: Introduction to TornadoFX Part 2Kotlin Thursdays: TornadoFX Part 2 Last week, we started our neighborhood cat scheduler application. I will be switching this series to occ… Started by Amanda Hinchman-Dominguez |
0 | Jun 1, 2018 |
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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