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Engine Yard created an infographic that will help you learn about node.js:
"Node.js is a server-side framework for JavaScript that has experienced explosive growth over the last couple of years. When it first started gaining momentum in the developer community, it was hailed as “the new Rails,” and after surpassing Rails on GitHub as the most-starred repository, some even referred to it as “the new PHP.” Comparisons aside, while there isn’t just one right language or framework for building apps, Node.js certainly is a suitable framework for building a particular kind of app; Node.js is the go-to development framework for making event-driven, low-latency, concurrent apps. Yet despite its popularity, Node.js is still in its infancy..."
Courtesy of: Engine Yard
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Dan Chao explains how Pkl streamlines infrastructure as code workflows. By defining schemas and constraints, Pkl enables robust configuration management, catching errors early and providing clear feedback. The demo showcases Pkl's ability to generate YAML for Kubernetes and its advantages over manual YAML complexity.
By Dan ChaoWeb accessibility ensures content is usable by people with disabilities. According to Joanna Falkowska it can give a competitive edge, improve SEO, and support basic human rights. She emphasizes using WCAG standard and making accessibility a shared team responsibility from the start of development, to prevent costly fixes later in the process.
By Ben LindersMicrosoft's Build conference unveiled Agent Loop, a transformative feature in Azure Logic Apps enabling developers to embed AI agents into enterprise workflows. Leveraging over 1,400 connectors, it allows for creating autonomous and conversational agents for tasks like loan approvals and customer support, streamlining operations, and enhancing decision-making.
By Steef-Jan WiggersHashiCorp has released the Terraform MCP Server, an open-source implementation of the Model Context Protocol designed to improve how large language models interact with infrastructure as code.
By Matt FosterPrime Intellect has released INTELLECT-2, a 32 billion parameter language model trained using fully asynchronous reinforcement learning across a decentralized network of compute contributors. Unlike traditional centralized model training, INTELLECT-2 is developed on a permissionless infrastructure where rollout generation, policy updates, and training are distributed and loosely coupled.
By Robert Krzaczyński
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