Codetown
Codetown ::: a software developer's community
Kotlin Thursdays
Kotlin is a statically-typed language that runs on the JVM. Developed by a small JetBrains team in St. Petersburg, Kotlin is one of the hottest upcoming languages being used around the world. We're here to grow together as an open-source community and to learn collaboratively!
Crowdsourcing Kotlin-focused Tutorials
From content on the Kotlin language itself to programming paradigms to frameworks, we encourage anyone to submit content on anything Kotlin related. Our goal is learn collaboratively, meaning that the Kotlin Thursdays team is ready to help you submit content to share with others.
How do Kotlin Thursdays work?
Every Thursday, we release new content every season. We have blogs available here in KotlinTown. This season, we're creating webisodes to compliment that content. Code and documentation related to content is available on Github.
Interested in contributing? Head over Github to learn how you can get started :)
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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Check out the Codetown Jobs group.
InfoQ Reading List
Presentation: The Time is Now: Delight Your Developers with User-Centric Platforms & Practices
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-Sources DeepSeek-V3, a 671B Parameter Mixture of Experts LLM
DeepSeek 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 AlfordArticle: A Framework for Building Micro Metrics for LLM System Evaluation
LLM 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 Releases Experimental AI Reasoning Model
Google has introduced Gemini 2.0 Flash Thinking Experimental, an AI reasoning model available in its AI Studio platform.
By Daniel DominguezGoogle Vertex AI Provides RAG Engine for Large Language Model Grounding
Vertex 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
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