Artificial Intelligence

A few weeks ago, OpenAI announced that Codex is available for Plus users, and I didn’t miss a chance to try it. And today, I’m excited to share a guide to OpenAI’s Codex. As a developer, I’ve found it to be a powerful and practical tool.

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.

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.

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 at Verilog Meetup constructed an exam/interview problem that has an interesting property: if a student tries to figure out a solution by thinking by himself, he usually succeeds; however if he dumps the problem on ChatGPT, the solution fails (does not pass the automated test), and the student goes into a death spiral of futility, kicking ChatGPT to get the solution right.

There is nothing weird about the problem, we do this in the industry all the time:

In this tutorial, I’ll explain in simple terms what AI, AI agents, and workflows are, and then I’ll walk you through building your very first AI agent in Python using Google’s Agent Development Kit (ADK). By the end, you’ll understand the differences between these concepts and have a working content-assistant agent you can run from your terminal or a web interface.

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.

By the way, notice the cover with the dinosaur? Let's call him Rex. Rex is himself a product of neural network creation. Today he'll be the main star of our experiments. But what will we do? Remember I mentioned crazy ideas? Well, to understand all the possibilities of generation, let's give AI a difficult task. We'll send Rex somewhere in space, for example to the Moon, let him put on a spacesuit and and have him grill some barbecue with Earth in the background. Interested? Then buckle up, we're heading into the world of image generation.

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.

Since sharing my initial thoughts on Google's Gemini 2.5 Pro, I've dug even deeper and gathered answers to many common questions developers like us might have. This AI model is making waves, so let's break down everything you need to know – from its groundbreaking features to the practical stuff like cost and limitations.

Google has introduced Gemma 3, a collection of lightweight, open-source AI models designed for efficient performance across various devices, from smartphones to workstations. Building upon the technology of the Gemini 2.0 models, Gemma 3 supports over 140 languages and offers advanced text and visual reasoning capabilities. What's to know more? Then, read this article until the end.

The world of AI is constantly evolving, and it feels like every week brings a new tool promising to revolutionize how we work and create. I recently got a chance to try out Gemini Canvas, a new interactive space built into Google’s Gemini app. If you want to know what I discovered and how you might use it, read this article until the end.

Hey everyone! I'm super excited to share something cool I've been playing around with: Google AI Studio. It's like a playground where you can build stuff with Google's AI models. So, if you're curious and want to dip your toes into the world of AI, follow along! I'll show you the basics.

Author: Sergey Lukyanchikov, C-NLTX/Open-Source

Disclaimer: The views expressed in this document reflect the author's subjective perspective on the current and potential capabilities of jBPM.

This text presents jBPM as a platform for orchestrating external AI-centric environments, such as Python, used for designing and running AI solutions. We will provide an overview of jBPM’s most relevant functionalities for AI orchestration and walk you through a practical example that demonstrates its effectiveness as an AI orchestration platform:

In this article, I'll take you through everything you need to know about Hugging Face—what it is, how to use it, and why it's a game-changer in the ever-evolving landscape of artificial intelligence. Whether you're a seasoned data scientist or an enthusiastic beginner eager to dive into AI, the insights shared here will equip you with the knowledge to Hugging Face's full potential.

Have you ever heard of Gemini Code Assist? It’s an AI-powered coding assistant from Google that helps with writing, completing, and debugging code. The best part? It’s now free for individuals, freelancers, and students!

In this article, I’ll show you how to set up and use Gemini Code Assist inside VS Code. Whether you’re new to coding or an experienced developer, this tool can save you time and make coding easier. Let’s get started!

Are you looking for a free alternative to ChatGPT? If so, you’re in the right place! In this article, I will introduce you to HuggingChat, an open-source AI chatbot from Hugging Face. Unlike other AI models like ChatGPT or Gemini, HuggingChat runs on various open-source models that you can explore, modify, and even fine-tune according to your needs. Let’s dive in!

DeepSeek R1 is an exciting AI model that you can run locally without relying on cloud services. In this guide, I’ll show you step-by-step how to set up and run DeepSeek R1 Distilled using Ollama and Open WebUI. By the end, you’ll have a fully functional local AI chatbot accessible via your web browser! If you are ready, then let's get started! ;-)

Up to a certain point, I sincerely believed that in today’s world manual CAPTCHA recognition was gradually becoming an anachronism, especially when it came to such simple CAPTCHAs as image-based ones—where one merely needs to read text off a photograph and input it as plain text. But as it turns out, things aren’t quite so straightforward (no matter how it may sound).

Do you want to use a local LLM inside Obsidian, similar to ChatGPT, completely free? If yes, then this guide is for you! I'll walk you through the exact steps to install and use DeepSeek-R1 Model in Obsidian, so you can have an AI-powered second brain right inside your notes.