Codetown ::: a software developer's community
Chicago Kotlin User Group x Android Listeners
Hosted at GrubHub, July 17
Coroutines are the new hot stuff, and right now they’re being added to lots of libraries. But what if you don’t want to use an alpha01 in production code? What can coroutines do on their own, right now? In this talk, we’ll discuss the power behind structured concurrency and how we can use it to make our entire stack lifecycle-aware. We’ll look at examples of how to turn any callback or long-running code into a coroutine, and we’ll go over when and how to use Channels to handle hot streams of data without leaking. Finally, and most importantly, we’ll see how we can use these tools to inform our application architecture, so that we can quickly write maintainable and testable features. Thanks to GrubHub for hosting!
Tags:
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.

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
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively decompose and process inputs, and can handle prompts up to 100x longer than base LLMs.
By Anthony Alford
Salesforce has completed a phased migration of more than 1,000 Amazon Elastic Kubernetes Service (EKS) clusters from the Kubernetes Cluster Autoscaler to Karpenter, AWS’s open-source node-provisioning and autoscaling solution.
By Craig Risi
© 2026 Created by Michael Levin.
Powered by