Technologie

Webcam randomly pausing in OBS, Discord, and websites - LSVCam and TikTok Studio

I use my webcam constantly for streaming and I'm pretty familiar with all the internals and how the camera model on Windows works. I also use OBS extensively, so I regularly use the OBS virtual camera and flow everything through Open Broadcasting Studio. For my podcast, I use Zencastr which is a web-based app that talks to the webcam via the browser APIs. For YouTubes, I'll use Riverside or StreamYard, also webapps. I've done this reliably for the last several years without any trouble. Yesterday, I started seeing the most weird thing and it was absolutely perplexing and almost destroyed the d

Scott Hanselman's Blog · EN

Automatically Signing a Windows EXE with Azure Trusted Signing, dotnet sign, and GitHub Actions

Mac Tahoe (in Beta as of the time of this writing) has this new feature called Edge Light that basically puts a bright picture of an Edge Light around your screen and basically uses the power of OLED to give you a virtual ring light. So I was like, why can't we also have nice things? I wrote ( vibed, with GitHub Copilot and Claude Sonnet 4.5 ) a Windows Edge Light App (source code at https://github.com/shanselman/WindowsEdgeLight and you can get the latest release here https://github.com/shanselman/WindowsEdgeLight/releases or the app will check for new releases and autoupdate with Updatum). H

Scott Hanselman's Blog · EN

The danger of glamourizing one shots

People should not be judging AI-augmented coding by “1 shots.” If someone told you that their model did a “one shot of Minecraft” and they’re impressed by that, you need to consider how much semantic heavy lifting the word “Minecraft” is doing in that prompt. Ask them to one shot Minecraft without using the word Minecraft. It’s not trivial to one shot something unique, because programming is the art of making the ambiguous incredibly specific through sculpting. AI sculpting is less about vibes and more about finding the specificity you want and keeping the system stable through changes. Good S

Scott Hanselman's Blog · EN

Is the craft dead?

The Japanese are really good at woodworking. And I love watching the Yankee workshop, my dad makes Native American bows and arrows completely from scratch in his workshop with trees that he finds. This is all different from the stuff you get at IKEA, but I’ve been coding now for money for 35 years and systems are still complicated, computers still do dumb stuff, humans still do dumb stuff, this is just like the move from assembler to C, like the introduction of syntax highlighting, the introduction of intellisense, and the copy paste directly into production shift when stack overflow happened.

Scott Hanselman's Blog · EN

Migrating a Synology NAS to a UniFi UNAS Pro 8 with Robocopy, SMB Multichannel, and Surprising Performance Traps

I’ve had a Synology NAS for a very long time , and recently I started moving its contents to a new Ubiquiti UniFi UNAS Pro 8 . This seemed like it ought to be a fairly boring operation. Both devices speak SMB, I have a fast network (recently upgraded to 10 gigabit internally), and Windows has had tools for copying files reliably between machines for decades. Naturally, it turned into a whole evening of learning things I thought I already knew, which is why I started a blog lol. There was a nice bit of history here for me because back in 2007 (good lord!) I wrote a post called “ XCo

Scott Hanselman's Blog · EN

Debugging my new network, when 10 Gigabit Ethernet Runs at 300 Megabits

I've been moving my home storage over to a UniFi UNAS Pro 8 as part of a larger homelab moderization . My main IRONHEART (the ultimate PC from a few years back) desktop now has an Intel E610-XT2 10GbE card, the NAS is on 10GbE, and there's a Minisforum MS-01 miniPC on the same network with a 10GbE SFP+ connection running Immich and Portainer and a few other things. Everything says 10 gigabit. Windows says 10 gigabit. UniFi says 10 gigabit. SMB copies are using the correct NIC but my file copies are running at around 100 to 200 megabits per second which is sad making. Naturally, I blamed the NA

Scott Hanselman's Blog · EN

Article: Systemic Approach to Memory, Knowledge, and Context in Agentic AI Architectures

The article argues that reliable agentic AI architecture depends on a context engine that selects, injects, compresses, and expires information before it reaches the model. It separates context, memory, and knowledge, and recommends tiered memory, curated knowledge, and token budgeting. It also covers common anti-patterns, such as context stuffing and stale data loops, with mitigations. By Adi Polak

InfoQ · EN

Uber Builds MCP Gateway to Govern Access to 800+ Servers and 5,000+ AI Agent Tools

Uber has built an MCP Gateway to standardize how AI agents discover and invoke internal services across more than 800 MCP servers and 5,000 tools. The gateway separates tool registration from runtime execution and includes automated API discovery, access controls, sensitive data redaction, incremental tool discovery through Omni MCP, and response filtering. By Leela Kumili

InfoQ · EN

Java News Roundup: TornadoVM 8.0, JNoSQL, Endive, JReleaser, JBang, LangChain4j, Quarkus Almanac

This week's Java roundup for October 26th, 2026, features news highlighting: the GA release of TornadoVM 8.0; point releases of JNoSQL, Endive, JBang, JReleaser and LangChain4j; a maintenance release of JobRunr; beta releases of Hibernate ORM and Hibernate Reactive; and introducing the Quarkus Almanac. By Michael Redlich

InfoQ · EN

Google and Meta Open-source TorchTPU to Bring Native PyTorch Support to Google TPUs

TorchTPU is an open-source project developed by Google in collaboration with Meta that provides a native PyTorch backend for Google TPUs. It enables PyTorch workloads to execute on TPU hardware with minimal code modifications, supporting eager and compiled execution, distributed computing, and hardware-specific optimizations. By Sergio De Simone

InfoQ · EN

Presentation: Beyond the Harness: Canvas for AI Agents

Nimisha Asthagiri shares how applying proven product engineering and architecture principles creates a bounded canvas for AI agents. She explains how this model provides agents with bounded autonomy, continuous drift detection, and decision records to scale software development resiliently. By Nimisha Asthagiri

InfoQ · EN

LinkedIn Uses OpenTelemetry to Trace the Member Journey from Tap to Backend

LinkedIn has built an OpenTelemetry-based telemetry platform that connects what members do in its iOS, Android, and web applications with the backend services processing those interactions. By Craig Risi

InfoQ · EN

Vitest 5: Prioritises Performance with a Shared Vite Server, Trace View, and Stricter Test Defaults

Vitest 5.0 focuses on speed, with reported gains of 8 to 25 percent in most setups and up to 53 percent in VM pools. It adds a vitest doctor command, Browser Mode Trace View, and vi.when. Defaults are stricter: clearMocks is true and unawaited async assertions fail. It requires Vite 6.4 and Node.js 22.12 or newer. By Daniel Curtis

InfoQ · EN

Google Launches LiteRT Tensor API for Building, Customizing, and Optimizing ML Models for On-Device

Google has introduced the LiteRT Tensor API, a lightweight C++ API that allows developers to build, customize, and optimize machine learning models directly for on-device execution. According to Google, it combines the flexibility of native model authoring with cross-platform portability. By Sergio De Simone

InfoQ · EN

Improving performance by prefetching product pages from Etsy Search

Rarely are there opportunities for big, bold, game-changing improvements in web performance. The Speculation Rules API (SRA) is a recent browser development that offers just such an opportunity. This post details a joint effort between the search and the web performance teams at Etsy to implement SRA on Etsy search pages and drastically improve the performance of product listing pages with some metrics seeing 20-24% improvements and some dropping all the way to 0ms values. Prefetching Options There are two main ways to predictively fetch resources for the next page: <link rel="prefetch"> allow

Etsy Engineering | Code as Craft · EN

Reducing experiment duration with predicted control variates

I n 2021, we published a blog post titled “ Increasing experimentation accuracy and speed by using control variates ,” describing how we reduce the variance of metrics using CUPED in our experimentation platform. This is a follow-up on how CUPED has evolved at Etsy since then. Spoiler – It’s changed a lot, decreasing our average experiment duration by 3 days! Etsy’s mission is to Keep Commerce Human. To achieve this, we need to understand the impact each change to our platform has on our buyers' and sellers' experience. Whether that involves changing the color of the “Buy Now” button on the Et

Etsy Engineering | Code as Craft · EN

How Etsy Uses LLMs to Improve Search Relevance

Ever searched for something specific, only to be met with results that are close, but not quite ? On Etsy’s Search Relevance team, that frustration is exactly what we are tackling. Our goal is simple yet ambitious: to help buyers find exactly what they’re looking for, and to help sellers reach the people seeking their special products. Search plays a central role in that mission. Historically, Etsy’s search models have relied heavily on engagement signals – such as clicks, add-to-carts, and purchases – as proxies for relevance. These signals are objective, but they can also be biased: popular

Etsy Engineering | Code as Craft · EN

Migrating Etsy’s database sharding to Vitess

Etsy has maintained a sharded MySQL architecture since around 2010. This database cluster contains most of Etsy’s online data and is made up of ~1,000 tables distributed across ~1,000 shards. Over the last 16 years, it has grown significantly: combined, these tables have over 425 TB of data and receive roughly 1.7 million requests per second. Etsy engineers access our MySQL data through a proprietary object-relational mapping (ORM). The ORM has a corresponding model for each MySQL table. When a table is sharded, its rows are partitioned among different databases known as shards. Each shard has

Etsy Engineering | Code as Craft · EN

Making Ads Count: Using MMoE and Auxiliary Tasks to Better Connect Buyers & Sellers

When buyers search on Etsy, they need to quickly and easily find the perfect item. At the same time, sellers need to be confident their unique products are being seen by the right customers. Our Ads Search ranking model, which is built on a multitask learning foundation, is the critical link in this connection. Recently, we identified an opportunity to drive more meaningful buyer engagement by enhancing our model’s ability to predict purchase intent. We achieved this via a dual-pronged improvement: introducing Multigate Mixture of Experts (MMoE) to our model architecture and leveraging add-to-

Etsy Engineering | Code as Craft · EN

Shaping Product Understanding with Contrastive Reinforcement Learning

Etsy’s marketplace is defined by the creativity and craftsmanship of our sellers and the hundreds of millions of highly diverse products they offer. You can find silversmiths who cold-forge recycled sterling silver, weavers who dye raw fleece with indigo and black walnut, and ceramicists who throw stoneware on a kick wheel. These details define each product and often determine whether it matches a buyer’s taste, style, and interests. Sometimes buyers know exactly what they want, searching for “hand-thrown ceramic mug” or “vegetable-tanned leather wallet.” Other times, especially in recommendat

Etsy Engineering | Code as Craft · EN

Kafka App? There’s a Skill for That

Etsy is home to over 100 million listings from 5.6 million active sellers. Because the items for sale are unique and creative, there is no standard product catalog that tells us what they are. When someone searches for “light linen dress for summer,” our models must infer what the shopper means and what the listings contain. They do that using data from user visits and Etsy listings. We use Kafka for streaming data. These data streams provide fresh features and embeddings that power our machine learning models. If a shopper favorites a hand-painted ceramic mug, that action can shape their reco

Etsy Engineering | Code as Craft · EN

That Which We CAN Do: Sustainability in a World of AI

As computing use grows, so does its environmental footprint. While hardware and software have become significantly more efficient, AI demand is growing even faster, outpacing those efficiency gains and increasing the overall environmental impact of computing. What’s more, measurement standards are still playing catch up, making it difficult for companies to measure and reduce their environmental impact. We’ve grappled with this challenge for years (starting with cloud computing and now AI), and we know we’re not alone. Environmental impact has been growing exponentially as computational power

Etsy Engineering | Code as Craft · EN

GitLab Critical Patch Release: 19.5.1, 19.4.3, 19.3.6, 19.2.9, 19.1.9, 19.0.10, 18.11.13

GitLab

PHP2Shell: GitLab helps find and remediate critical PHP flaws

GitLab is not affected by PHP2Shell (CVE-2026-109618 and CVE-2026-109619). The GitLab application is not written in PHP and does not run it to serve web requests, and our Security team has found no evidence of impact to GitLab-managed infrastructure. GitLab.com, GitLab Self-Managed, and GitLab Dedicated are not impacted. PHP is a widely used programming language that runs on web servers and powers popular platforms like WordPress, Drupal, and Magento, so a flaw in PHP itself can affect many websites and applications. On October 21, 2026, the PHP project fixed two critical remote code execution

GitLab · EN