Codetown ::: a software developer's community
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TestingThis category is all about testing. TDD, JUnit, etc... |
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AI, ML & Big DataArtificial Intelligence, Machine Learning, Big Data. Let’s chat! |
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Dynamic LanguagesLove Jython. JRuby? It rocks. This category is all about dynamic languages. Especially dynamic languages that run on the JVM. |
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Feb 15, 2016 Reply by Michael Levin |
JavaJava in general. |
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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! |
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TrendsThis category is about what's hot and what's not. |
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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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The Model Context Protocol (MCP) C# SDK has been updated to support the latest specification, version 2025-06-18. As reported, this release introduces several new features for .NET developers working on AI applications, including an updated authentication protocol, elicitation support, structured tool output, and resource links in tool responses.
By Almir VukMicrosoft and OpenAI launched GPT-5 on the Azure AI Foundry, revolutionizing enterprise AI with its advanced reasoning and task-specific model orchestration. This suite enhances applications like Microsoft 365 Copilot and GitHub Copilot, enabling seamless interactions and high-quality outputs tailored for real-world scenarios. GPT-5 empowers organizations to drive AI transformation efficiently.
By Steef-Jan WiggersSam Newman discusses the three golden rules of distributed computing and how they necessitate robust handling of timeouts, retries, and idempotency. He provides practical, data-driven strategies for implementing these principles, including using request IDs and server-side fingerprinting to create safe, resilient distributed systems.
By Sam NewmanEmerson Murphy-Hill explains how to prioritize investments in engineering productivity using data from Google, National Instruments, and ABB. He discusses a ranked list of productivity drivers, the impact of biases in code reviews and documentation, and the practices of exceptionally diverse and inclusive engineering teams.
By Emerson Murphy-HillAnthropic has recently made Claude Code Subagents generally available, enabling developers to create independent, task-specific AI agents with their own context, tools, and prompts.
By Hien Luu
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