Development
Announcing OpenAI on JSR
OpenAI's JavaScript and TypeScript SDK is now available on JSR, offering developers a streamlined experience with auto-generated documentation and TypeScript support.
Satish Das
Infrastructure
Kubernetes v1.37: Pod-Level Resource Managers graduated to Beta
With the release of Kubernetes v1.37, the Pod-Level Resource Managers feature has graduated to Beta status (disabled by default). This enhancement allows Kubelet's Topology Manager, CPU Manager, and Memory Manager to use Pod-level resource declarations directly when making hardware placement decisio
Hardware
AICR v1.0: Open, stable, and verifiable GPU cluster configuration
NVIDIA's AICR v1.0 introduces a version-locked, validated approach to GPU cluster configuration for Kubernetes, addressing compatibility challenges across components like kernels, drivers, and workloads. The release establishes a stable compatibility contract and introduces tools for configuration m
Security
Microsoft Plugs Nearly 400 Security Holes
Microsoft has released updates to address 398 security vulnerabilities, including one actively exploited and two previously disclosed. The increase in patch frequency is attributed to AI-assisted vulnerability discovery, though patching remains a human-centric process.
Data
Elastic named a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Search
Elastic has been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Search, positioned highest for Ability to Execute and furthest for Completeness of Vision. The company also ranked first in the AI Automation Use Case in the companion Critical Capabilities report.
Cloud
Beyond hours saved: Building the business case for agentic automation
The RPA-era ROI model misses most of the value agentic automation creates. This post gives AI center of excellence leaders a framework to size the full value of agents across time savings, exception handling, decision quality, and maintenance economics, and to prioritize which workflows to automate
AI
Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
The Retrieve-for-Train framework introduces a novel approach to AI search by leveraging reinforcement learning during training to bypass the computational overhead of inference-time reasoning. This method enables efficient, property-aligned query decomposition, improving both the quality and speed o
News
Local Inference Engines & Runtimes Compared 2026
This analysis compares 47 tools for running models locally, focusing on inference engines, runtimes, and gateways. It evaluates hardware support, APIs, and other key attributes based on official documentation.
Self-hosting
Big Tech ruined the cloud, so we’re renaming ours
Home Assistant is rebranding its cloud service from 'Home Assistant Cloud' to 'Home Assistant Link' to better reflect its values of privacy, transparency, and user autonomy. The change aims to distance the service from the negative connotations associated with traditional cloud services, particularl
Open Source
EU AI Act and CRA: Timelines and Resources
The EU has made significant progress in implementing the Cyber Resilience Act (CRA) and the AI Act over the past month. These developments are critical for Open Source developers, maintainers, and organizations, as they shape the regulatory landscape for software and AI systems. The Open Source Init
Community
Show HN: Plimsoll, a self-hosted sandbox for code your AI agent writes
Plimsoll is a self-hosted sandbox service designed to run untrusted code, such as code written by AI agents, while providing transparency about the isolation level used for each execution. This article explores its architecture, use cases, and how it ensures security through isolation tiers and cryp
Development
The Dino 🦕, the Llama 🦙, and the Whale 🐋
This article explores the feasibility of running large language models (LLMs) using Deno and Jupyter Notebooks, focusing on the integration of tools like Ollama, LangChain.js, and zod for structured output validation. It outlines the setup process and highlights the potential of Deno and Jupyter for