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I watched my experienced finance colleague struggle with Excel for a whole hour. He's an Excel guru, has been working with it for 20 years. But when I saw how he was typing formulas, I couldn't help but show him a couple of simple tricks that blew his mind.

It was a problem of ignorance—ignorance of features that have been in Excel for years, saving hours of work, but which no one ever talks about.

That's why I'm writing this article, to gather the best life hacks and save precious seconds of your life.

Hello, Habr! My name is Nikita Pastukhov—author of FastStream, Principal Engineer, and maintainer of AG2 (a framework for developing agents). I’ve been in development for 8 years, and for the last year, I’ve been up to my ears in agents.

And I want to prove to you that writing your own agent is no more difficult than writing a CRUD

Why does this even need proving? Because there’s a noticeable gap between what’s happening with AI globally and what’s happening in the average Russian company. Globally—every company has an OpenAI subscription, there are a billion startups with AI products, and agents are deeply integrated into the back office. In Russia—it’s “dangerous, we host our own models,” “it’s unclear,” and support chatbots. Globally, engineers already know how to develop agents. In Russia—it’s “what even is that?”

So let’s break down how agents work using the example of OpenClaw—the most hyped “personal AI agent” right now. It lives in your messenger, sorts your email, manages your social media, writes code, and deploys services. Its popularity is a testament to how little people are currently using agents in their daily lives. For those in the know, OpenClaw hasn’t brought anything new to the table.

For over 10 years, C++ has had constexpr, which allows the programmer to cleverly offload some computations to the compiler. At the time, this blew my mind, because the compiler can calculate some rather complex things before the program is even run!

At some point, I thought: if the compiler can calculate everything for you, then why do you need a runtime at all? What are you going to do there—print the answer or something? That’s just silly. That’s unsportsmanlike.

This is where my challenge was born:

“No hands” or “don’t even think about running the exe file”

Let's design the Go scheduler from scratch. We'll start with the simplest and most understandable naive implementation, and then, step by step, we'll figure out its flaws and come up with ways to solve them, gradually making the overall model more complex.

This is one of the best ways to understand a complex system or concept—by going through the process of its step-by-step design. The system is complex and not easy to grasp, but we will break it down into simple steps that are very easy to understand. After that, the puzzle will fall into place in your mind, and the overall picture of the system will be just as simple and obvious to you.

A lot of security conversations still start with a familiar question:

EV charging platforms look familiar at first: APIs, cloud infrastructure, mobile apps, CI/CD, Kubernetes, telemetry, admin tools, and billing-adjacent logic. But the risk model is different. A weakness in authorization, release governance, device identity, or observability can affect not only data, but also charging sessions, stations, firmware, fleet operations, and recovery workflows.

This article explains how to approach EVSE as a Product Security problem, not just an AppSec problem.

Hey devs! When you use Codex, putting too many tasks into a single conversation makes the model slow, confused, and unreliable. To solve this problem, I highly recommend using subagents (or Custom Agents).

What are ANSI codes and how does the terminal process them? Why terminal emulators even exist? How to format the output to PowerShell from AutoHotkey? Let's dive in!

A WONDERFUL FUTURE

Technology is advancing at an astonishing rate. It seems like only yesterday that domestically produced KR1810VM86M microprocessors with a clock rate of just 8 megahertz appeared, forever dividing our lives into “before” and “after.” And a set of eight K565RU7 memory chips (similar to the Intel 41256) provided a RAM capacity of 256 kilobytes, a fantastic value for its time.

Back then, it seemed that with such rapid development, humanity was about to transcend the galaxy and rush to other worlds. Today, these figures only evoke a smile, but it was precisely with such advances in computing technology in the 1980s and 1990s that our journey into the future world of ones and zeros began.

When these funny (at least to us) girls walked away from our booth, the neighboring exhibitors immediately started saying how lucky we were.

When these funny (at least to us) girls walked away from our booth, the neighboring exhibitors immediately started saying how lucky we were.

Let’s explore the possibilities of sound synthesis in browsers. We’ll explore the basics and, as a practical example, create a Yamaha DX7 synthesizer emulator.

How to write console output algorithm on AutoHotkey, why this language is awesome and what to consider when writing on your high-level language.

Operating autonomous vehicles in mixed traffic with human-driven vehicles imposes two fundamental limitations. First, sharing roads with conventional vehicles causes delays through traffic congestion. Second, unpredictable behaviour of human drivers and pedestrians, together with current traffic regulations, prevents autonomous vehicles from realising the full benefits of automated vehicle-to-vehicle coordination – optimal distance control, prioritised merging, dynamic road load management, and automatic compliance with radio-transmitted vehicle-to-infrastructure (V2I) commands.

To overcome these limitations, physically segregated road sections or physically segregated lanes must be introduced, reserved exclusively for highly automated vehicles operating in fully automated mode without a driver on board. These segregated sections and lanes require special traffic management rules, including dedicated road signs, road markings, entry and exit procedures, and V2I commands.

Physically segregated lanes and road sections would allow the safe exploitation of all capabilities of fully automated mode, including centralised control via V2I commands as technical readiness permits. To implement such segregation, new road signs are needed that clearly mark the boundaries of these sections and inform all road users of the applicable rules.

Everyone complains in retros. We learned to complain in a way that made work more comfortable and the team more effective. Here's what helped.

This article is for the IT specialists working in regional road authorities. Since your recommendations influence the development of transport infrastructure, let us discuss what is happening on our roads in the field of high technology!

This topic has become a real headache. Whenever a region allocates funds for an ITS (Intelligent Transport System), everyone wants to install smart solutions at the busiest intersections in the city center. SpesLab constantly receives requests about this, and we are already tired of explaining that it is a bad idea.

Xeovo contributed to the Tor × Funding the Commons matching pool, supporting projects that build tools for privacy, anti-censorship and journalists.

We are a relatively small VPN provider, but we believe companies working in privacy should give back to the projects/tools that keep the internet open.

Internet freedom has declined for 15 consecutive years. This is not only happening in authoritarian states. Even democratic countries are introducing more surveillance powers, censorship mechanisms, age-verification systems, weakening encryption and laws that can make private communication impossible.

At the same time, censorship and surveillance tools are becoming more sophisticated, while public understanding of digital privacy continues to decline.

We hope our contribution of $10,000 can make a small difference and help these projects continue their work. If you are interested, we encourage you to check out the Tor × Funding the Commons campaign. And if you are able to donate, even a small contribution can help support the tools that keep the internet open.

Xeovo supports other privacy and anti-censorship projects as well. In the future, we plan to publish a public page showing the initiatives we have contributed to.

Originally published on https://hub.xeovo.com/posts/198-xeovo-donates-to-tor-x-funding-the-commons

На прошлой неделе исследователи «Лаборатории Касперского» опубликовали разбор свежей кампании по распространению вредоносного ПО в Steam Workshop, встроенной в игровую платформу Steam мастерской для обмена пользовательским контентом. Для заражения пользователей злоумышленники используют программу Wallpaper Engine — это платная утилита для создания кастомных обоев рабочего стола. Возможности программы достаточно широки — от анимации и воспроизведения видео до запуска приложений. Именно этой особенностью и воспользовались организаторы атаки.

Исследователи наблюдали два варианта распространения вредоносного ПО под видом анимированных обоев. В самом простом варианте жертве доставлялся архив, внутри которого содержались и обещанные обои, и вредоносные файлы. Чуть более сложный метод предполагал распространение в уже запароленном архиве. К нему был приложен скрипт, который распаковывал архив и запускал вредоносную нагрузку автоматически. Обои публиковались в Steam Workshop с конца 2025 года. Авторы отчета обнаружили десятки вредоносных обоев, причем некоторые из них имели десятки тысяч скачиваний. Результат установки такого ПО ожидаемый: кража учетной записи Steam, установка вымогателя-шифровальщика и запуск криптомайнера.

Progress constantly faces a problem: new technologies are not always profitable to introduce. Or rather, progress hits this problem and stops.

This is a question asked by every second customer who comes to us for a video surveillance system. Everyone has their own preferences, so this is simply SpesLab’s personal view.

Unfortunately, the Tech Hiring Activity Index for June doesn’t bring any particularly good news.

However, there is a compelling trend: just two months ago, roughly three times as many US tech companies were hiring for classic manual QA as for dedicated AI testing roles. That gap has now narrowed to two to one.
But don’t let the growth rates fool you. While dedicated AI roles – those where AI is the deliverable, whether that means building, testing, and evaluating models or developing applications on top of ready-made ones, rather than merely using AI tools to support other work – are emerging, they are doing so from a very low baseline and still represent a tiny fraction of the overall tech job market.