In this tutorial, I’ll walk you through everything I’ve learned about using Google Jules — an asynchronous coding agent. I’ve kept the explanations clear and simple, so whether you're an experienced developer or a beginner, you’ll be able to follow along. By the end, you should feel confident working with Jules: assigning tasks, reviewing its output, and making the most of its capabilities. Ready? Let’s dive in. ;)
CAPTCHA has become a familiar part of the internet: distorted texts, “find all the traffic lights” images, audio riddles, and other challenges that distinguish humans from machines. Every bot-system developer or QA engineer automating web scenarios has at least once run into a script suddenly stumbling over a CAPTCHA. A natural question arises: can a program be taught to solve CAPTCHAs the way a human does—quickly and reliably? In this article I will try to figure out how AI CAPTCHA solvers are built, from classical OCR methods to modern neural networks.
Hi everyone, I’m Alexey. I’m a big fan of observability, and in this post, I want to share something I’ve been working on — the pgpro-otel-collector.
TL;DR: pgpro-otel-collector is an OpenTelemetry collector (aka monitoring agent) tailored for gathering Postgres metrics and logs — brought to you by PostgresPro.
Ashamed to admit, I still use Swarm in 2025. It's easy to explain, quick to set up, and simple to use. It's a starting point in the world of containers when full-blown Kubernetes is overkill. But Docker's evolution hasn't been the most straightforward. Over time, it began to lack a minimal dynamic proxy for Swarm - one that you run once, which configures traffic routing to microservices automatically - and forget about it. That's how Millau was born - an ingress-proxy and load balancer based on labels. It currently powers its own website and a few other projects.
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Try These 6 Backlink Strategies That Actually Work.
In the end, you’ll get tips to help you build a strong backlink strategy.
This article presents a business-driven approach to software architecture, focusing on maximizing profitability through technical decisions. It advocates for:
Distributed, stateless services with immutable models for scalability
Isolated third-party integrations without disrupting core logic
Simple, modular design
Best for:
✔ Tech leads designing scalable systems
✔ Managers optimizing dev efficiency
✔ Stakeholders evaluating ROI on architecture
If you've ever run multiple instances of PostgreSQL or other software on a single machine (whether virtual or physical), you've probably encountered the "noisy neighbor" effect — when instances disrupted each other. So, how do you make them get along? We’ve got the answer!
Users don’t fear changes. They fear wasting time. Why users reject “best” products — and how to win them over.
Learning Shopify has been on my bucket list for a few years now. Plenty of people in my circle — friends, colleagues, and fellow devs — are all somehow involved with Shopify in one way or the other. Earlier this year, I finally had some breathing room between projects, so I figured it was the perfect time to give Shopify a proper look.
I started exploring the platform by setting up a dev store, poking around the admin, and skimming through the API manual. While this was a quick and easy start, it didn’t give me a deeper understanding of the platform. Plus, clicking my way through the UI felt repetitive and tedious.
That got me thinking: is there a more efficient, developer-centric way to manage a store? Something that I could run in a terminal, plug into a CI/CD pipeline, or script my way out of those mundane tasks.
I recently got my hands on Windsurf AI, and I wanted to share my experience with this AI-first Integrated Development Environment (IDE). If you’re a developer like me, always on the lookout for tools to boost productivity, this might be on your radar. So, is Windsurf AI the real deal? Let’s find out.
In this post, I’ll show you EXACTLY how to run Telegram ads in 2025.
In fact, this is the exact process I use to grow my Telegram channels and get quality subscribers for just 0.01 TON ($0.03 as of May 15, 2025).
My name is Ilya and I’m a Core Developer at Bright Security. In Bright we work on a DAST (Dynamic Application Security Testing) solution that helps development teams find and fix vulnerabilities early, straight from CI/CD. My own path began in full-stack engineering, but almost a decade of shipping production code drew me ever deeper into application security. In this article I’m explaining key approaches on what SAML actually is and how we detect it in Bright using DAST.
"Electricity is not just a form of energy, but the invisible current that connects all aspects of our lives, from technology to nature itself."
You may have already read in the news that on the eve of Cosmonautics Day, a new stable release of Angie 1.9.0 was released, an nginx fork that continues to be developed by the team of former nginx developers. Approximately every quarter, we try to release new stable versions and delight users with numerous improvements. This release is no exception, but it's one thing to read a dry changelog and quite another to get to know the functionality in more detail, to learn how and in which cases it can be applied.
The list of innovations that we will discuss in more detail:
— Saving shared memory zones with cache index to disk;
— Persistent switching to a backup group of proxied servers;
— 0-RTT in the stream module;
— New busy status for proxied servers in the built-in statistics API;
— Improvements to the ACME module, which allows automatic obtaining of Let's Encrypt TLS certificates and others;
— Caching TLS certificates when using variables.
How Does a Developer Realize They Need a Browser Auto CAPTCHA Extension?
Imagine a developer automating routine tasks — for example, testing a web application or writing a data scraping script. Everything runs smoothly until a CAPTCHA appears on the path. In the browser, a familiar window pops up: "I am not a robot," or a grid of images where you need to find traffic lights or pedestrian crossings. The automatic script halts, tests fail, and an inexperienced developer might not even realize the problem for a long time — after all, they set everything up and started it, but didn’t account for the presence of CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart), designed precisely to stop bots. But what if the bot is ours and performs, say, useful work?
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.
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.
I’ve recently been playing with Agent Mode in VS Code, which looks promising. If you’re using VS Code and want to give your development a turbo boost, you’ll want to hear about this.
We continue our journey through the world of CAPTCHAs (Fantastic CAPTCHAs and Where to Find Them, as well as Methods to Combat Them), and today we encounter yet another “tough nut” in the CAPTCHA universe – FunCaptcha (Arkose Labs).
FunCaptcha is a type of CAPTCHA developed by Arkose Labs that offers users small puzzles instead of the usual tasks like recognizing distorted text or selecting images containing buses. In traditional CAPTCHAs (e.g., reCAPTCHA), verification often relies on recognizing distorted characters or simple images. Arkose Labs took a different route: their “entertaining” CAPTCHAs feature interactive challenges with 3D objects, logic puzzles, and audio questions. This approach is intended to be user-friendly for humans while complicating life for bots.
Typical FunCaptcha challenges include:
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.