Codetown ::: a software developer's community
Time: January 28, 2016 from 6pm to 9pm
Event Type: jug, meeting
Organized By: Michael Levin
Latest Activity: Jan 28, 2016
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.

AWS details how the latest Model Context Protocol specification removes protocol-level sessions, sticky-session requirements, and session storage for remote MCP servers. The change enables independent request routing and simpler horizontal scaling while shifting application state, retries, observability, and idempotency concerns to other layers.
By Leela Kumili
Grafana Labs has published a practical approach for monitoring Cypress test suites by converting test results into Prometheus metrics and sending them to Grafana Cloud.
By Craig RisiChristine Lemmer-Webber and David Thompson explain how Spritely's architecture solves core decentralization challenges. They share insights on capability-based access control with Goblins, actor-model communication via OCapN, and petname systems. Discover how Spritely leverages Scheme, WebAssembly (Hoot), and local-first CRDTs to build secure, peer-to-peer applications without central servers.
By Christine Lemmer-Webber, David Thompson
In this episode, Meryem Arik, Clara Higuera Cabañes, and Jeff Smith, demystify the current state of AI in the enterprise. The discussion navigates the "industrial revolution" moment in AI adoption, exploring why companies are rushing toward these technologies to maintain competitive advantages while grappling with reliability, ethical considerations, and the evolving role of software engineering.
By Meryem Arik, Clara Higuera Cabañes, Jeff Smith
QCon AI New York has confirmed 23 sessions covering agent authorization, production guardrails, shared inference infrastructure, and the evaluation of AI systems after deployment.
By Artenisa Chatziou
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