Kotlin Town Discussions (34)

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Kotlin Thursdays Presents: Tea Time - Bad Bosses with Brittney Braxton

This week, Ben Rodriguez and Brittney Baxton discusses ways leaders and organizations help shape (or hinder) engineer development.

Started by Amanda Hinchman-Dominguez

0 Dec 6, 2018

Kotlin Thursdays - Image Processing in Kotlin Part 3 with Amanda Hinchman-Dominguez

Kotlin Thursdays: Image Processing in Kotlin Part 3 Part 1: https://codetown.com/group/kotlin/forum/topics/kotlin-thursdays-image-processin

Started by Amanda Hinchman-Dominguez

0 Nov 16, 2018

Kotlin Thursdays - Kotlin Koans with Ben Rodriguez Part 2

Kotlin Thursdays: Kotlin Koans with Ben Rodriguez @apichamion   Part 1 here: https://codetown.com/group/kotlin/forum/topics/kotlin-thursda

Started by Amanda Hinchman-Dominguez

1 Nov 15, 2018
Reply by Michael Levin

Kotlin Thursdays Presents: Tea Time - The Toxic Engineering Environment with JP Fairfield

This Kotlin Thursday, Amanda and JP Fairfield talk about working overtime in tech.

Started by Amanda Hinchman-Dominguez

0 Nov 8, 2018

Kotlin Thursdays - Image Processing in Kotlin Part 2 with Amanda Hinchman-Dominguez

Kotlin Thursdays: Image Processing in Kotlin Part 2 Welcome to Kotlin Thursdays!  Last week, we were able to render an image with TornadoFX…

Started by Amanda Hinchman-Dominguez

0 Nov 8, 2018

Kotlin Thursdays - Kotlin Koans with Ben Rodriguez Part 1

Kotlin Thursdays: Kotlin Koans with Ben Rodriguez @apichamion   Hey everyone! Welcome to Kotlin Thursdays.  With some many languages out t…

Started by Amanda Hinchman-Dominguez

0 Nov 8, 2018

Kotlin Thursdays - Image Processing in Kotlin Part 1 with Amanda Hinchman-Dominguez

Kotlin Thursdays: Image Processing in Kotlin Part 1 Welcome to Kotlin Thursdays and Happy Halloween!  This week, we will be exploring image…

Started by Amanda Hinchman-Dominguez

0 Nov 1, 2018

Kotlin Thursdays - Collection Mechanics with Matt Moore

Kotlin Thursdays: Collection Mechanics Welcome to the first Kotlin Thursday of the season! We're glad to have you here. This week, we're go…

Started by Amanda Hinchman-Dominguez

0 Oct 25, 2018

KT 2.0 Teaser

Started by Amanda Hinchman-Dominguez

0 Oct 23, 2018

Kotlin Thursdays - Coming Back October 25th

Kotlin Thursdays is coming back with a new season - new friends, new content, and episodes!! Stay tuned :)

Started by Amanda Hinchman-Dominguez

0 Oct 10, 2018

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Happy 10th year, JCertif!

Notes

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InfoQ Reading List

Presentation: How to Unlock Insights and Enable Discovery Within Petabytes of Autonomous Driving Data

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

Article Series - AI Assisted Development: Real World Patterns, Pitfalls, and Production Readiness

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

How CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation

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

Anthropic announces Claude CoWork

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

Tracking and Controlling Data Flows at Scale in GenAI: Meta’s Privacy-Aware Infrastructure

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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