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.
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InfoQ Reading List
Genkit Extension for Gemini CLI Brings Framework-Aware AI Assistance to the Terminal
Introducing Google's Genkit Extension for Gemini CLI: a groundbreaking tool that delivers framework-aware AI assistance directly to the terminal. Streamline your Genkit application development with context-aware code generation, debugging, and best practices—all without leaving the command line. Unleash productivity and innovation in building generative AI applications.
By Hien LuuPresentation: Systems Thinking for Scaling Responsible Multi-Agent Architectures
Nimisha Asthagiri explains the critical need for responsible AI in complex multi-agent systems. She shares practical techniques for engineering leaders and architects, applying systems thinking and Causal Flow Diagrams. She shows how these methods help predict and mitigate the unintended consequences and structural risks inherent in autonomous, learning agents, using a scheduler agent example.
By Nimisha AsthagiriGitHub MCP Registry Offers a Central Hub for Discovering and Deploying MCP Servers
GitHub has recently launched its Model Context Protocol (MCP) Registry, designed to help developers discover and use the AI tools directly from within their working environment. The registry currently lists over 40 MCP servers from Microsoft, GitHub, Dynatrace, Terraform, and many others.
By Sergio De SimoneSeed4J 2.0 Delivers a Migration from JHipster Lite
The release of Seed4J 2.0 delivers a migration from JHipster Lite 1.35.0. Seed4J is a “modular code generator that helps developers bootstrap their applications with clarity, structure, and purpose.” Pascal Grimaud, Creator of Seed4J and former Co-Leader of JHipster, spoke to InfoQ about this migration.
By Michael RedlichArticle: Go Channels: Understanding Happens-Before for Safe Concurrency
This article dives into the happens-before semantics of Go channels, explaining how they relate to memory visibility, synchronization, and concurrency correctness. We'll examine subtle pitfalls, illustrate them with examples, and explore the architectural implications for system designers.
By Gabor Koos
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