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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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This week's Java roundup for September 28th, 2026, features news highlighting: the GA releases of JobRunr 9.0 and OpenXava 8.0; point releases for Quarkus, Micronaut, LangChain4j, Eclipse JNoSQL; ADK for Java and ADK for Kotlin; and introducing Lathe, a new Java language server.
By Michael Redlich
Akka used 65 open-source projects to examine how specification structure, context, model selection, automated validation, and delivery guardrails affect AI assisted software porting. The experiment measured time, token use, code size, test parity, and performance, finding substantial variation across models, effort levels, and project types.
By Leela Kumili
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to catch regressions across complex RAG and cybersecurity workloads while preserving domain context.
By Susan Chang
In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and teases topics of the future edition. The discussion explores how security engineering is shifting from relying on human vigilance toward automated, system-level defences across the entire application stack.
By Chris Swan
In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one. He makes a case for a shared LLM platform with common services like prompt registry & versioning, schema enforcement and token cost attribution by request.
By Aditya Mulik
© 2026 Created by Michael Levin.
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