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
Presentation: Are You Missing a Data Frame? The Power of Data Frames in Java
Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By analyzing The One Billion Row Challenge, he shares how Java frameworks can outperform Python in memory management while maintaining code readability. He discusses practical use cases for senior devs, from ad-hoc data manipulation to building scalable enterprise pipelines.
By Vladimir ZakharovUber Moves In-House Search Indexing to Pull-Based Ingestion in OpenSearch
Uber transitions its in-house search indexing to OpenSearch with a pull-based ingestion framework, improving reliability, backpressure handling, and multi-region consistency for large-scale streaming data while simplifying recovery and supporting global, real-time search experiences.
By Leela KumiliArticle: Building LLMs in Resource-Constrained Environments: A Hands-On Perspective
In this article, the author argues that infrastructure and compute limitations can drive innovation. It demonstrates how smaller, efficient models, synthetic data generation, and disciplined engineering enable the creation of impactful LLM-based AI systems despite severe resource constraints.
By Olimpiu PopPodcast: [Video Podcast] Improving Valkey with Madelyn Olson
In this episode, Thomas Betts chats with Madelyn Olson, a maintainer of the Valkey project and a Principal Software Development Engineer at Amazon ElastiCache and Amazon MemoryDB. The conversation covers how Valkey started as an open source fork of Redis and how the maintainers optimized the memory usage and improved throughput.
By Madelyn OlsonXcode 26.3 Brings Integrated Agentic Coding for Anthropic Claude Agent and OpenAI Codex
The latest release of Xcode, Xcode 26.3, extends support for coding agents, such as Anthropic's Claude Agent and OpenAI's Codex, helping developers tackle complex tasks and improve their productivity.
By Sergio De Simone
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