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Need to use obscure PHP extensions not found in standard Debian sources? Building proper .deb packages is the way to go.

It keeps everything compatible with the existing setup and avoids messy workarounds like dropping binaries outside the package manager. Doing it right pays off: https://u.habr.com/UHRNP
UENUM iteration in Unreal Engine

When you define a UENUM, Unreal automatically generates all the metadata and creates a corresponding UEnum object, which is a UObject. All you have to do is use that data properly: https://u.habr.com/LgqAM
Asynchrony in blueprints into Unreal Engine

If you’ve been working with Unreal Engine for a while, you’ve probably come across nodes that let you call a function now and get the result later — while also continuing execution once the function completes.

Built-in asynchronous nodes
But when you try to create your own, you’ll quickly find that you can’t just “drill down” into their logic like with regular Blueprint functions.

So, how do you make your own?

That’s where UBlueprintAsyncActionBase comes in. It’s the key to creating functions that behave like standalone asynchronous nodes in Blueprints: https://u.habr.com/8pNjA
"Now you can easily add serialization support to your custom structs in Unreal Engine — even if some of their fields don’t support it out of the box"

Custom structure serialization in Unreal Engine: https://u.habr.com/AYjhg
"I recently tried using Firebase Studio, and it has been an interesting experience that I want to share with you. It's a free, browser-based tool from Google that allows you to build full-stack web apps with AI assistance. Want to know more? Then read this article until the end"

Firebase Studio Explained. Features and How to Get Started: https://u.habr.com/MUDIz
Top 11 Free AI Image Generators: Best AI Image Tools of 2025

Admit it, how many times have you wanted to quickly create an image for a post or presentation, but instead got stuck in an editor or endless searches for a suitable image on Google? Wouldn't it be great if the picture in your head could just appear instantly? Time is money, inspiration is on pause, and that's where AI comes to the rescue. Neural networks can generate anything you want, including the craziest ideas. No need to spend hours searching when, with a few clicks, you can see what was in your thoughts just a second ago: https://u.habr.com/FX8OP
"I'm new here. Someone told me that Habr is like russian reddit for developers (and maybe not). And I'm here today to share my story and get opinions from you, part of this community"

Yandex huge privacy issue or not? https://u.habr.com/BITle
GeeTest CAPTCHA Bypass: How to Solve a Sophisticated Anti-Bot System

Let’s break down what this beast is, where it dwells, and why you should (or shouldn’t) fear it… You’ll understand as we go: https://u.habr.com/QdiDq
Google ADK: Easiest Way to Build an AI Agent

This tutorial explains AI, AI agents, and workflows in simple terms, then guides you through building an AI agent in Python using Google’s Agent Development Kit. By the end, you’ll understand the differences between these concepts and have a functional content-assistant agent runnable from a terminal or web interface: https://u.habr.com/2iznv
"We all strive to build better software, and to do it faster. I believe Test-driven Development offers us a path towards this goal. Still struggling to efficiently utilize this approach? Then I invite you to discuss my tips and tricks to unlock the benefits of TDD"

Build better, faster using TDD: https://u.habr.com/bNoly
It’s Never Too Late: Start into DevOps

Learn about the challenges, growth, and lessons gained — from juggling work, studies, and a pet project to achieving a dream: https://u.habr.com/qtki9
By next year, we'll be talking to databases in natural language

According to Gartner, natural language queries will replace SQL as early as 2026.

While Gartner's prediction may be optimistic, the shift toward natural language interfaces for databases is inevitable. The timeline may vary, but the transition itself is a certainty: https://u.habr.com/vOeSI
What is DPI Engine?

For people familiar with the term DPI (Deep Packet Inspection), it often carries an unpleasant association: blocking, regulators, censorship, tightening controls. In reality, DPI is simply the name of a technology whose essence lies in the deep analysis of network traffic. Deep traffic analysis involves identifying protocols, extracting the most significant fields and metadata, classifying internet services, and analyzing the nature of network flows. Let's find out how such solutions work: https://u.habr.com/iFaGK
"How I Created Perfect Wiki and Reached $250K in Annual Revenue Without Investors"

From a simple idea to fix Microsoft Teams' clunky built-in Wiki, a SaaS founder built Perfect Wiki — a seamless knowledge base tool. Bootstrapped, no investors, just a 20-person team. Now at $250K/year in 5 years: https://u.habr.com/QKXlV
PostgreSQL 18: Part 4, or CommitFest 2025-01

We continue to follow the news about PostgreSQL 18. The January CommitFest brings in some notable improvements to monitoring, as well as other new features: https://u.habr.com/qNW3V
About the C++ static analyzer as a Clang plugin

This article is based on the experience of developing the memsafe library, which, using the Clang plugin, adds safe memory management and invalidation control of reference data types to C++ during source code compilation: https://u.habr.com/Ph8FV
Tips and methods for conducting user research with children

Conducting a UX research session with children might be a very interesting, but at the same time very challenging experience. Working with kids requires a totally different approach than with adults, and it’s important to keep that in mind throughout the whole session: https://u.habr.com/HCvym
VS Code Agent Mode: How It Helped Me Build a Django App in Minutes

If you’re using VS Code and want to give your development a turbo boost, you’ll want to hear about this: https://u.habr.com/A4SLH
How to catch and optimize problematic queries in PostgreSQL

If you work with PostgreSQL, you've likely run into performance issues at some point — especially as your database grows. Things may have been running smoothly at first, but as your client database expanded, queries started slowing down. Sound familiar? Here's a guide to help you identify and fix problematic queries, so you can get your PostgreSQL database running at peak performance again: https://u.habr.com/bwHMT
MSSQL: Index Heatmaps in TreeView Format

Would you like to know which indexes are used frequently or rarely? Which ones aren't used at all? Which tables and indexes are the largest? It's very easy to create visualizations for this. They're both visually appealing and practically useful: https://u.habr.com/HWNFA