Codetown ::: a software developer's community
Don't you think it's about time we started a JavaScript group? JavaScript has exploded. At this point, that's an understatement. We're going to focus on the whole JavaScript world here and subgroups will fall out later. HTML5, CSS, Node, Express, AngularJS, the list seems to go on forever. This is a work in progress, so stay tuned as we grow. Join this group to keep up with the latest content.
I was looking around for case studies about companies using Node and ran across this one. Uber's architecture involves Node. This discussion is a look at how the decisions were made to change the…Continue
Tags: js, javascript, codetown, node
Started by Michael Levin Jun 22, 2017.
If you're interested in Node.js, this is a great starting point. Ryan Dahl is the author. This is a video of his intro presentation.…Continue
Started by Michael Levin Feb 18, 2017.
You're going to love it here! Like minded people and a mind boggling assortment of…Continue
Tags: codetown, javascript
Started by Michael Levin Feb 18, 2016.
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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.
Check out the Codetown Jobs group.
Ana Petkovska discusses creating platform teams, establishing the team API, engagement of early adopters, easing adoption and providing a high quality product.
By Ana PetkovskaDeepSeek open-sourced DeepSeek-V3, a Mixture-of-Experts (MoE) LLM containing 671B parameters. It was pre-trained on 14.8T tokens using 2.788M GPU hours and outperforms other open-source models on a range of LLM benchmarks, including MMLU, MMLU-Pro, and GPQA.
By Anthony AlfordLLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.
By Denys LinkovGoogle has introduced Gemini 2.0 Flash Thinking Experimental, an AI reasoning model available in its AI Studio platform.
By Daniel DominguezVertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to external data sources to be more up-to-date, generate more relevant responses, and hallucinate less.
By Sergio De Simone© 2025 Created by Michael Levin. Powered by
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