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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InfoQ Reading List
Cactus v1: Cross-Platform LLM Inference on Mobile with Zero Latency and Full Privacy
Cactus, a Y Combinator-backed startup, enables local AI inference to mobile phones, wearables, and other low-power devices through cross-platform, energy-efficient kernels and a native runtime. It delivers sub-50ms time-to-first-token for on-device inference, eliminates network latency, and defaults to complete privacy.
By Sergio De SimonePresentation: Ecologies and Economics of Language AI in Practice
Jade Abbott discusses the shift from massive, resource-heavy models to "Little LMs" that prioritize efficiency and cultural sustainability. She explains how techniques like LoRA, quantization, and GRPO allow for high performance with less compute. By sharing the "Ubuntu Punk" philosophy, she shares how to move beyond extractive data practices toward human-centric, sustainable AI systems.
By Jade AbbottPython Workers Redux: Wasm Snapshots and Native uv Tooling
Cloudflare's latest advancements in Python Workers revolutionize serverless performance with near-instant cold starts, expanded package compatibility, and streamlined workflows via the uv package manager. By leveraging memory snapshots and WebAssembly, Cloudflare drastically reduces startup times, making Python a prime choice for AI and data science applications.
By Steef-Jan WiggersNuxt Introduces Native Request Cancellation and Async Handler Extraction for Performance Gains
Nuxt 4.2 elevates the developer experience with native abort control for data fetching, improved error handling, and experimental TypeScript support. With a 39% reduction in bundle sizes and a streamlined app directory, this release enhances performance and project organization, positioning Nuxt as a leading choice for full-stack web applications built on Vue.js.
By Daniel CurtisOpenAI and Anthropic Donate AGENTS.md and Model Context Protocol to New Agentic AI Foundation
OpenAI and Anthropic have donated their AGENTS.md and Model Context Protocol projects to the Agentic AI Foundation (AAIF), a new directed fund under the Linux Foundation. Block contributed their agent framework, goose, as another founding project, and several other tech companies have joined as Platinum members.
By Anthony Alford
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