Codetown
Codetown ::: a software developer's community
Discussion Forum (6)
| Categories | Discussions | Latest Activity |
|---|---|---|
TestingThis category is all about testing. TDD, JUnit, etc... |
12 | No activity yet |
AI, ML & Big DataArtificial Intelligence, Machine Learning, Big Data. Let’s chat! |
0 | No activity yet |
Dynamic LanguagesLove Jython. JRuby? It rocks. This category is all about dynamic languages. Especially dynamic languages that run on the JVM. |
8 |
Feb 15, 2016 Reply by Michael Levin |
JavaJava in general. |
36 |
Feb 8, 2019 Reply by sneha gulati |
Functional ProgrammingClojure, Lambda expressions, all the ins and outs of functional programming from languages to use cases. If you've got functional programming on your mind, this is the place to discuss it! |
2 | No activity yet |
TrendsThis category is about what's hot and what's not. |
2 | No activity yet |
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
AI Agent Identity and Permission Challenges: How Uber and Auth0 Are Rethinking Access Control
Uber recently described an internal architecture for propagating identity across multi-agent AI workflows. The design aims to perserve user context, agent provenance, and scoped access as agents delegate work and call internal tools. The case study aligns with Auth0’s view that AI agents need permissions based on delegated authority, scoped credentials, and explicit human approval boundaries.
By Eran StillerPresentation: From Hype to Strong Foundations: What the Rise, Fall and Resurgence of Agents Can Teach Us About Outlasting the Cycle
Aditya Kumarakrishnan explains how to move past the "amnesia phase" of AI. He shares a blueprint for engineering leaders to build modular agent frameworks using CoALA, leverage decades of process science for scalable workflows, and "terraform" legacy environments into robust, event-sourced artifacts capable of handling unpredictable, cross-functional agent demands.
By Aditya KumarakrishnanGitHub Copilot Desktop App Targets Parallel Agentic Workflows
GitHub has introduced the GitHub Copilot app, a desktop control centre for agent-native development that aims to keep engineers in charge while AI agents handle more coding work. Mario Rodriguez writes on the GitHub blog that the recent wave of coding agents has brought faster delivery but also "disjointed workflows, more context switching, and too much time spent reviewing agent-generated code".
By Matt SaundersPresentation: Automating the Web With MCP: Infra That Doesn’t Break
Paul Klein discusses the distributed systems challenges of scaling cloud-hosted browser infra for AI agents. He explains how to manage bursty, stateful multi-tenancy and secure Chromium environments against remote code execution using Firecracker. He also shares how to leverage the Model Context Protocol (MCP) to turn complex websites into accessible agentic tools.
By Paul KleinCoinbase Postmortem Reveals How a Localized AWS Failure Triggered a Multi-Hour Trading Outage
Coinbase has published a detailed postmortem of its May 7, 2026, outage, revealing how a localized cooling failure inside an AWS data center escalated into a multi-hour disruption that halted nearly all trading activity across the cryptocurrency exchange
By Craig Risi
© 2026 Created by Michael Levin.
Powered by
