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Every day, every single day, devices in fire suppression systems need to be checked! When these are enormous warehouses spread across vast territories, a security guard has to constantly walk around and inspect all of them — just for this one task. The pressure gauge has become a symbol of punishment in fire safety authorities.

Millions of analog sensors are also used in gas and water distribution systems, as well as in many other industries.

Some users reported that the gradient behind a picture in a story looked one way before publishing and a different way after — but only for screenshots. The culprit: iPhone screenshots are 16 bits per channel, while our color extraction only understood 8. Here’s the debugging story and the fix — byte order, component layout, and turning two adjacent bytes back into one 16-bit value.

Even among the dots and dashes, you can recognize the hand of a radio operator. And by the style of typing on a computer keyboard, it has become possible to determine the author of the text with almost 100% accuracy.

As a result, we get another sign of identification and authorization.

I am a contributor to RFC 9562, and I wrote this FAQ because I kept seeing the same concerns about UUIDv7 surfacing across Hacker News, Reddit, and developer blogs. The discussion would always circle back to the same objections, most of which are superficial and fall apart when you look closer. UUIDv7 is too big. The timestamp leaks creation time. It creates hot shards. It’s slower than BIGINT. Sorting breaks if clocks drift. After encountering these objections repeatedly, I decided to collect the most debated questions in one place and answer them based on real implementation experience.

What if the “spooky” correlations of quantum entanglement could confirm receipt of a one-way message, ending the acknowledgment (ACK) regress in the Two Generals’ Problem, without sending anything back? This Opinion explains, in everyday terms, why standard quantum mechanics forbids that hope and offers a clear yardstick for testing claims: the quantum trigger, a hypothetical local device that would behave like an ACK if it existed. We show why such a device has zero advantage under the no-signaling rule, unpack how ordinary timing, spectral and physical-emission leakage, shared schedulers, and post-selection can impersonate a “quantum ACK,” and provide quick diagnostics any team can run.

How we turned a NAS control panel into an extension platform, why Log Manager was needed, and what the Plugin Template is for.

In the previous article (Mini Bucket 3.6.2: from beta to release), I showed how the panel matured to a stable state: we patched holes, separated databases, and added HTTPS.

But it’s still just a panel. SMB, FTP, and the rest are standard features found in almost any admin panel. It’s time to expand the functionality.

The best solution turned out to be: .....

How a Product Owner at Exante uses AI to cut complex feature delivery time in half — without replacing human input in product decisions.

Author: Sergey Lukyanchikov, C-NLTX/Open-Source

Disclaimer: The views expressed in this document reflect the author's subjective perspective on the current and potential capabilities of jBPM.

TL;DR: Zero "quantum supremacy". Zero "agentic orchestration". Zero other hype. Just an approach to achieving an efficient quantum-assisted automation using 100% free open-source components (except for Azure).

In my previous article, I discussed the rationale for adopting jBPM as an AI orchestration platform. This article extends that discussion by examining jBPM’s ability to automate quantum computations and to incorporate their results into business processes and related analytical workflows:

About a year ago, I decided to create a universal open-source solution for list visualization. In the first versions, I tested the virtualization technology with various parameters, and there was a lot of research and questions. Today, version X.12.X was released, which runs on Angular 14-22. I’d like to talk about the capabilities of the tool (ng-virtual-list), the problems it solves, and give a brief overview with examples.

All examples below are contained in the code sample documentation.

The ng-virtual-list tool provides virtualized, high-performance lists with a variety of features that standard lists don’t have.

In a rapidly changing and ever evolving world of modern technologies and new gadgets that appear every few months, each software product needs a regular update both in terms of external appearance and internal compounds. In particular, one thing that can play a major role in freshening up an outdated app and changing the way users interact with it for the better is UX redesign. 

Hey you. Yes you. Do you have more routers than you can reasonably explain? Do you flash custom firmware for fun? Have you ever spent an entire evening troubleshooting an issue with router, then called it “relaxing”?

Xeovo is looking for you and your router, network and technical knowledge. We are going to give an opportunity for our community members to expand guides for routers, earn money and get recognition on Hub.

Our router tutorial section has the biggest gaps. Let's change this together.

Why I built Requester, a real-time HTTP load testing app for macOS, and what Swift structured concurrency taught me about telling the truth under load.

I wanted to hammer an HTTP endpoint and see what happened. Not read a summary report three minutes later — watch it, live, the way you watch a profiler.

The existing options are great but they all live in the terminal: wrk, hey, k6. I love them, but I kept wishing for a native window with a chart that moved. So I built one for macOS, in Swift and SwiftUI, and called it Requester.

This post is less “here are the features” and more “here are the three things I made building it.” The most interesting one: making the tool honest about backpressure turned out to be a design decision, not an accident.

Why Debian 9, PHP 7.0, and no frameworks. And how to set up HTTPS in 5 minutes.

Foreword for those who haven't read the first article

Last time, I told the story of how I wanted to make a couple of pages for SAMBA and NFS, but ended up with a NAS control panel of 20+ pages. I named the project Mini Bucket.

Important: That version was a beta. Raw, with rough edges, but alive. Its goal was to demonstrate the concept. And people got interested. So, it needs to be polished.

Now – version 3.6.2. A ton of problems have been fixed, security has been added, a separate domain, forum, and wiki have appeared. Today, I'll walk you through the installation step-by-step with screenshots.

But first – a quick summary of what has changed. Then – pure practice.

I ran into a very practical problem after doing a lot of local work with AI agents. I had Codex projects, Claude Code projects, regular repositories edited with agents, drafts, pipelines, instructions, skills, artifacts, and several machines. At some point it became hard to tell where the current version of a project lived, which files were safe to push, where agent instructions belonged, and where source code had already been mixed with logs and intermediate output.

That is why I built AI Workspace System: a small set of shell scripts, conventions, and Markdown documentation that makes local AI-agent work predictable. It is not an IDE and not an agent orchestrator. It is a thin infrastructure layer around Git, GitHub, Codex, and Claude Code.

The core idea is simple: all projects should be visible from one list, instructions should follow one structure, sync should be safe by default, and machine-specific details should not live in the repository.

Abstract. This work examines the physical foundations of Ekahau Sidekick measurements and the device offset mechanism from the perspectives of antenna theory, receiver noise theory, statistical signal theory, and the IEEE 802.11 standard family. It is shown that the scalar received signal strength indicator (RSSI) offset constitutes a linear level shift and does not model the true signal-to-noise ratio (SNR) of the client device, the quadrature amplitude modulation (QAM) constellation structure, the rate adaptation algorithm, or roaming behaviour. In addition to five independent physical and systemic sources of inaccuracy, the paper addresses modeling assumptions in Ekahau with respect to multiple-input multiple-output (MIMO) gain, multipath propagation, airtime estimation, and SNR visualisation. Verified numerical error estimates for representative deployment scenarios and practical recommendations are provided.