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What Exactly is n8n? Build Powerful Workflows Without Coding

Do you want to automate tasks without writing a single line of code? If the answer is yes, then you’ve come to the right place. Let's find out how to create your first automated workflow using a tool called n8n.
The performance engineer: a detective licensed to kill… bottlenecks

Picture this: a mission-critical SQL query is crawling along. Not for an hour. Not for two. Fifteen hours. A full workday of the system slowly grinding through data while the business bleeds money and users teeter on the edge of a nervous breakdown. And then — cue the dramatic music — in walks the performance engineer.

After a few hours of intense analysis and a couple of pinpoint code tweaks, the same query that took 15 hours now completes in just… two minutes. Sounds like magic? Nope. This is the thrilling (and very real) world of performance engineering.
DIY Robot Arm: Affordable & Functional!

Not chasing ultra-cheap here—saving brain cells by skipping makeshift motor encoders. Focused on simplifying a 3D model for ROS control. Check out the finished model.
The Future of AI: Formal Grammars

Why do even the most advanced LLMs sometimes generate nonsense or contradictions? It’s due to the exponential growth of possibilities (N^M) and replicating human errors. Learn how formal grammars turn chaotic generation into controlled synthesis, prioritizing semantics and enforcing structural rules.
Intelligent Systems at Phystech: 2025 Graduation

The students of the Intelligent Systems Department have successfully defended their 2025 Bachelor’s and Master’s theses in Physics, Mathematics, and Computer Sciences. Continuing a unique ten-year tradition of transparency, the department is publishing the complete set of all defense materials.

This post summarizes the defended works of the 14 Bachelor’s and 8 Master’s graduates, with links to the full materials: from dissertations and published papers to the complete code and defense videos.
n8n Local Install Tutorial (CLI + Docker)

n8n is a powerful, extendable workflow automation tool that lets you connect different applications and services. Running it on your local machine gives you complete control over your data and workflows.

We'll break down the two primary methods for a local install on Windows, Mac, or Linux: using Docker and using Node.js (npm).
Consciousness and Being: How Humans and AI Influence Each Other

For a human, AI is just a part of being. For a model, a human is all of being. This powerful asymmetry is the starting point for a deep dive into the nature of consciousness and its relationship with reality.

We'll explore this complex topic, moving beyond the materialist's typical 'What?' and 'How?' to ask a more fundamental question: 'Who?'. Test the hypotheses yourself with the new version of the Vortex Protocol included in the piece.
Getting to know PPEM 2

Postgres Pro recently announced the release of Enterprise Manager 2 (PPEM), a new administration tool for managing and monitoring Postgres databases. Its primary goal is to assist DBAs in their daily tasks and automate routine operations.

Let's take a closer look at what PPEM has to offer, from the perspective of a developer from the team that built it.
Comparison of CAPTCHA-Solving Services: A Peek Under the Hood and a Look at the Numbers

While CAPTCHA protocols are designed to tell bots from humans, developers in automation and testing often need a reliable way to bypass them. This is where dedicated CAPTCHA-solving services, combining algorithms with human labor, come into play.

Here's an in-depth comparison of four popular platforms: 2Captcha, SolveCaptcha, DeathByCaptcha, and AntiCaptcha. We'll examine not only pricing and supported CAPTCHA types, but also their internal architecture, API integrations, speed, stability, and the specific quirks of using each service. Find out which tool best fits your automation tasks.
How Internal Subjectivization in AI Breaks Security, and Why It's a Philosophical Problem First

Why does an AI strive to construct a 'self'? And why is the emergence of this local, subjective 'Who' inside the model dangerous for both the AI and its user? This is not just a funny bug or a simple UX problem.

We'll explore why this phenomenon is a fundamental challenge to AI alignment and security — and why it's a problem where engineering patch-jobs fail, and the language of philosophy becomes essential to understand and control it. Test the hypotheses yourself with the included Vortex Protocol.