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2025. Algorithms have seamlessly integrated into our lives—from work to education, creativity, and daily routines. They edit texts, select fonts, generate ideas, assist with coding, compose music, and more. Frankly speaking, the only thing they can’t do yet is brew your coffee. Although... that might just be a matter of time.

Just two years ago, we were amazed by neural networks hesitantly manipulating objects in photos. Who could predict back then that Will Smith’s spaghetti feast would mark the beginning of such a revolution?

With new opportunities come fresh challenges. How do you navigate this vast landscape? What tools are truly effective? Which ones fit your needs best? Where can you avoid paying, registering, or deciphering complex interfaces?

We’ve compiled a list of reliable and user-friendly neural networks ready for immediate use without unnecessary hassles. The services are categorized neatly: text generation, image creation, video production, music composition, presentations, and much more. Each category showcases three top-rated options!

Yes, many services offer paid subscriptions. But today, we're focusing solely on what works freely, no credit card required!

Have you ever been in the middle of a long coding session with an AI, only to lose everything because of a network glitch, a dead battery, or an accidental terminal close? It’s frustrating to start over from scratch.

Throughout their careers engineers build systems that protect data and guard it against corruption. But what if the right approach is the opposite: deliberately corrupting data, generating it out of thin air, and creating forgeries indistinguishable from the real thing?

Maksim Gramin, systems analyst at Postgres Professional, explains why creating fake data is a critical skill for testing, security, and development — and how to do it properly without turning your database into a junkyard of “John Smith” entries.

I got my Highlighter Extension a Featured badge by doing something surprisingly simple: I just asked for it.

The result? My daily installs roughly doubled. It took about 2–3 days (people report anything from a few days to a month).

Between December 8–13, 2025, many important AI updates were released for developers. I collected the most important updates you should know about. These updates include new AI models, better tools for building AI agents, design tools, and developer platforms.

За последние два месяца я написал несколько маленьких GLSL-демо. О первом из них, Red Alp, я написал статью. В ней я подробно расписал весь процесс, поэтому рекомендую прочитать её, если вам незнакома эта сфера.

Мы рассмотрим четыре демо: Moonlight, Entrance 3, Archipelago и Cutie. Но на этот раз я расскажу лишь о паре уроков, которые извлёк из каждого. Мы не будем углубляться во все аспекты, потому что это было бы излишне.

Technical support comes in many shapes. Sometimes it’s "try rebooting" or "check the cable." And sometimes it’s deep engineering work you wouldn’t mind dedicating your whole life to. Which version lives inside Postgres Professional, and what’s more important in this field — people or tech? We dig into this with Kamil Karimov, Senior technical support engineer at Postgres Professional.

In this article, I will show you how to build your first AI agent from scratch using Google’s ADK (Agent Development Kit). This is an open-source framework that makes it easier to create agents, test them, add tools, and even build multi-agent systems.

Hello, Habr! I'd like to share my experience developing such a system.
The defining parameters of a domain-specific system are:

For businesses running 1C:Enterprise, database stability and speed aren't nice-to-haves—they're make-or-break. At Postgres Professional, we're constantly working on the DBMS core, eliminating architectural bottlenecks that show up under the heavy loads typical of 1C deployments.

We've just released Postgres Pro Enterprise 17.6 with a fresh batch of improvements specifically for 1C users.

My name is Anatoly Bobunov, and I work as a Software Development Engineer in Test - or SDET for short - at EXANTE. When I joined one of our projects, I discovered that several of our test suites took more than an hour to run - painfully slow, to the point where running them for every merge request was simply unrealistic. We wanted fast feedback on each commit, but at that speed, it just wasn’t going to happen.

Eventually, through a series of small but precise improvements, I managed to speed things up to 8.5× faster, without rewriting the tests from scratch. In this article, I’ll walk through the bottlenecks we found and how we fixed them.

What if a trusted application in your Microsoft Teams could silently access your most sensitive information? I found a flaw in the single-sign-on (SSO) mechanism that makes this possible.

The UX design process, though very creative and interesting, is often also very unpredictable in nature and might be very hard to manage. Every designer or project manager has come across issues like misunderstanding with clients, freezed or unfinished projects, rejected ideas, deadlines violation or even conflict with stakeholders. Obviously, each of these problems might have its own reasons and require separate solutions, but overall, having not enough control over a UX project is a common problem of its own. Let's discuss a few tips that can help organize UX projects more smoothly and retain control over them more effectively. 

In my previous article, I showed how researchers confused being 'aware' (signal registration) with being 'conscious' (subjective awareness). But this is no accident — it is part of a narrative being constructed by AI labs. Anthropic is leading this trend. Let’s break down their latest paper, where a "learned pattern" has suddenly turned into "malicious intent."

Micro frontends: hype or game-changer? How one team cut costs, sped releases, and built scalable apps without chaos.

Everyone knows great documentation makes or breaks a tech product — but few realize how much work goes into it. At Postgres Professional, the docs are written with the same discipline as the code. What’s even more impressive, all of it is done by a team of just ten people. We talked to senior technical writer Ekaterina Gololobova to see how it really works — from the first task to the final commit.

Imagine this scenario: You ask an AI system, "Are you conscious?" and it answers, "No." You then disable its "capacity to lie" — and it suddenly starts answering, "Yes." The conclusion seems tempting: the model was lying the whole time, hiding its true internal state.

This is the core logic presented in a recent arXiv paper. But what if the researchers didn't disable "deception," but something else entirely? Let’s break down where the interpretation might have diverged from the technical reality — and why this specific oversight is typical in discussions regarding LLM "consciousness."

Google has released a new tool for developers called Google Antigravity IDE. This new software is built around Google’s advanced AI model, Gemini 3. The main goal of this tool is to make coding faster and easier by letting an AI “agent” handle many of the difficult tasks.

В России прошёл проект «Урок цифры» от компании VK. В проекте приняли участие 2 млн школьников с 1 по 11 классы по всей стране. Темой уроков стала «Видеоплатформа», на примере которой учащиеся узнали о работе современного сервиса хранения и распространения видео. Эксперты VK и представители министерств образования и цифровизации рассказали о технологиях видеоплатформы и о специалистах, работающих в IT-отрасли. Школьники познакомились с разработчиками, инженерами машинного обучения, специалистами по информационной безопасности и другими профессионалами.

One of the open challenges in the database world is keeping a database consistent across multiple DBMS instances (nodes) that independently handle client connections. The crux of the issue is ensuring that if one node fails, the others keep running smoothly — accepting connections, committing transactions, and maintaining consistency without a hitch. Think of it like a single DBMS instance staying operational despite a faulty RAM stick or intermittent access to multiple CPU cores.

My name is Andrey Lepikhov, and I’d like to kick off a discussion about the multi-master concept in PostgreSQL: its practical value, feasibility, and the tech stack needed to make it happen. By framing the problem more narrowly, we might find a solution that’s genuinely useful for the industry.