Information

Scala

Scala is a general programming language and it runs on JVM. It's a static typed language with many features that make code concise and flexible.

Website: http://scala-lang.org
Location: Orlando
Members: 5
Latest Activity: Jul 27, 2011

Discussion Forum

EasyB

This just in from Luis Espinal of MJUG: http://www.easyb.org/The EasyB syntax for writing stories and specifications is a lot more succinct than…Continue

Tags: mjug, tdd, java, groovy, Scala

Started by Michael Levin Jul 27, 2011.

A file poller implementation in Scala

Want to see how a file poller in Scala looks like? Check out…Continue

Tags: poller, file

Started by Zemian Deng Mar 7, 2009.

Hello world

Perhaps I should have post this as my first message to the group, but I will add it anyway for completeness. Or in case someone wants to try Scala out and at least you can grap this template to start…Continue

Started by Zemian Deng Mar 3, 2009.

Simplifying Java Exception with Scala

One feature of Scala is it reuse Java's Exception class hierarchies, but much easier to use. For one thing, it treats Exception as "unchecked" just like RuntimeException, which I think one of the…Continue

Started by Zemian Deng Mar 3, 2009.

Scala Reading List

Loading… Loading feed

Comment Wall

Comment

You need to be a member of Scala to add comments!

 

Members (5)

 
 
 

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent

LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.

By Leela Kumili

Pretext.js Bypasses DOM Layout Reflow, Enabling Advanced UX Patterns at 120 FPS

Cheng Lou, a Midjourney engineer, recently released Pretext, a 15KB open-source TypeScript library that measures and lays out text without browser layout reflows, enabling advanced UX/UI patterns like infinite lists, masonry layouts, and scroll position anchoring to run at 60-120 fps. Pretext was built using an AI loop that reverse-engineered the DOM’s layout calculations.

By Bruno Couriol

Subagents in Gemini CLI Enable Task Delegation and Parallel Agent Workflows

Google has introduced subagents in Gemini CLI, a new capability designed to help developers delegate complex or repetitive tasks to specialized AI agents operating alongside a primary session.

By Robert Krzaczyński

Presentation: Event-Driven Patterns for Cloud-Native Banking - What Works, What Hurts?

Chris Tacey-Green discusses the shift from synchronous commands to asynchronous events within highly regulated environments. He explains the critical role of Inbox and Outbox patterns in preventing data loss, the nuances of event versioning, and how to maintain decoupling between domains. He shares "battle-tested" principles for implementing fault tolerance and managing eventual consistency.

By Chris Tacey-Green

Article: Building Production-Ready tRPC APIs: The TypeScript Alternative to Apollo Federation

This article details our migration from Apollo Federation to a TypeScript-based tRPC stack, which resulted in an 89% reduction in bugs and 67% faster response times. It also covers the mistakes we made, the unexpected performance gains, and an overview of the production architecture we use today to handle 2.4 million daily requests with 99.97% uptime.

By Dinesh Kumar Elumalai

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service