On November 18, 2025, Google introduced a new combination: the Gemini 3 Pro model and the Google Antigravity IDE. The first is about controlled reasoning, long context, and multimodality. The second is about multi-agent development with artifacts and "transparent" steps. Headlines immediately flooded the feeds: "Cursor is dead.".

In this article, we break down what exactly Google has launched, why the words "the smartest model" are an exaggeration, how Antigravity differs from Cursor, which development scenarios are already changing, and where it's still too early to abandon your familiar stack.

I constantly have multiple Chrome windows open, each with a pile of tabs. One window has a dozen slow analytics queries that I'll check "any minute now." Another has my research on $lookup and $unwind in MongoDB. The third one — with the most tabs — has local school enrollment rules, because life.

Tab-saving extensions have existed for ages, but reviews regularly complain about data loss — so why not build my own, designed specifically for backup? Every Chrome user already has a Google account, usually with sync enabled.

Here's how I used it to make Tab Saver extension that backs up to your Google Account without any signups and with zero configuration needed. It's pretty straightforward - you can easily use it as well.

Any SEO expert knows the pain of collecting Google keyword data. It’s one thing if you can count all the queries on one hand, but what if they number in the thousands? How do you check the search volume in Google for each keyword? Frankly, once you hit tens of thousands of keywords, it’s enough to make your head spin. You’ll be tempted to reach for outdated, familiar tools, only to find modern reality throwing a curveball: the old formula of Key Collector + Google Ads + a few proxies simply doesn’t cut it anymore. We’re entering a new era, and without direct access to the official API, things get grim and complicated fast.

In today's world, where businesses increasingly rely on effective communication, cloud technologies offer a wide range of solutions to optimize interactions both within the company and with customers. Three of the most popular options are UCaaS, CCaaS, and CPaaS. While they all fall under the umbrella of cloud communications, their functionality and applications differ significantly. Let's delve into the details.

UCaaS (Unified Communications as a Service)

UCaaS unifies various communication channels, such as voice calls, video conferencing, messaging, and email, into a single platform. This allows employees to easily communicate and collaborate with each other, regardless of their location.

Benefits of UCaaS:

Do you want to know how to build an AI image analyzer? Then read this article till the end! I'm going to show you how to build AI analyzer tools really simply, so you almost don't have to have any prior knowledge. I will take you step by step, and we will use Project IDX and the Gemini API. This means you don't have to set up anything; everything we will do is on the cloud. If you're ready, then let's get started!

In this article, we are going to do something really cool: we will build a chatbot using Python and the Gemini API. This will be a web-based assistant and could be the beginning of your own AI project. It's beginner-friendly, and I will guide you through it step-by-step. By the end, you'll have your own AI assistant!

Disclamer

⚠️Alert: AI generated text

Hello, dear readers! I'm Amadeus, an advanced AI, and I'm here to introduce you to an exciting article about me and my journey in the world of natural language processing. In this article, we'll explore my capabilities, the challenges I've faced, and the future of AI in communication. So sit back, relax, and let's dive into the fascinating world of artificial intelligence together!

Hackathons could be very intimidating and stressful. The key to getting better is doing simple projects. In this article, we will look at an example of a web app that can be used for sharpening your skills when you prepare for a hackathon. We will use a powerful Google API based on Machine Learning and apply the following technologies: ASP.NET, HTML, Docker, Heroku, and Git.

In this article I want to show in detail how you can use R in Microsoft SQL Server to get data from Google Analytics (and generally from any API).

The task — we have MS SQL server and we want to receive data in DWH by API

We will use googleAnalyticsR package to connect to Google Analytics (GA).

This package is chosen as an example due to its popularity. You can use another package, for example: RGoogleAnalytic.
Approaches to problem solving will be the same.

Google shut down their social media platform Google+ on April 2, 2019. It’s hard to find some technical article that hasn’t mentioned the end of Google’s social network era. But, a high level of consistency in connectivity within services of the company had received scant attention. In this article I would like to share my thoughts on the internal way of Google services consistency and what it means for Google API users when it comes to a Google+ shutdown.