Over the past two years, large language models (LLMs) like ChatGPT have burst onto the scene and rapidly entered mainstream use. It took ChatGPT just months to reach over 100 million users, making it one of the fastest-adopted technologies ever. And it’s not slowing down; as of late 2024, ChatGPT’s website was seeing over 3.7 billion visits per month , and in a single day in May 2025 it handled a record 80 million visits. This explosive growth in conversational AI matters because it is already beginning to reshape how people search for information and products. In a world where

Click-worthy styles in a single class Buttons are made easy with Bootstrap. The team at Bootstrap has taken the guesswork out of button design and has created a set of styles that look modern. Only rarely do I sway away from the default bootstrap design. Buttons were briefly looked at in our previous article. We’ll go into further detail in this section. https://www.dinocajic.com/bootstrap-p3-margin-and-padding/ The btn class must be applied to each button in order to start using bootstrap’s button styles. Let’s see the changes between the default button style and bootstrap’s version. <button>Unstyled</button> <button class=”btn”>Styled with Bootstrap</button> When the btn class is applied to

Space elements the smart way Margin and padding are made easy with Bootstrap. Most of your padding and margin needs can be done with these Bootstrap properties. Padding is implemented with 6 different classes, each beginning with p-. Similarly, margin classes begin with m-. The padding classes include: p-0, p-1, p-2, p-3, p-4, and p-5. The following classes are defined for margins: m-0, m-1, m-2, m-3, m-4, and m-5. Let’s look at each of these. <div> <button class=”btn btn-primary p-0″>Padding 0</button> <button class=”btn btn-primary p-1″>Padding 1</button> <button class=”btn btn-primary p-2″>Padding 2</button> <button class=”btn btn-primary p-3″>Padding 3</button> <button class=”btn btn-primary p-4″>Padding 4</button> <button class=”btn btn-primary p-5″>Padding 5</button> </div> <div> <button class=”btn btn-primary m-0″>Margin 0</button> <button

Typography and colors, tamed Before we jump into the more intermediate features of bootstrap, we’ll first explore some of the basic styles that you might come in to contact with. In order to make your site responsive using bootstrap, you must include the container style. https://www.dinocajic.com/bootstrap-p1-and-installation/ <!doctype html> <html lang=”en”> <head> <meta charset=”utf-8″> <meta name=”viewport” content=”width=device-width, initial-scale=1″> <title>Text and Colors</title> <link href=”https://cdn.jsdelivr.net/npm/bootstrap@5.2.1/dist/css/bootstrap.min.css” rel=”stylesheet” integrity=”sha384-iYQeCzEYFbKjA/T2uDLTpkwGzCiq6soy8tYaI1GyVh/UjpbCx/TYkiZhlZB6+fzT” crossorigin=”anonymous”> </head> <body> <div class=”container”> <h1>Bootstrap Example</h1> <p>Bootstrap look a lot nicer on the screen</p> </div> <script src=”https://cdn.jsdelivr.net/npm/bootstrap@5.2.1/dist/js/bootstrap.bundle.min.js” integrity=”sha384-u1OknCvxWvY5kfmNBILK2hRnQC3Pr17a+RTT6rIHI7NnikvbZlHgTPOOmMi466C8″ crossorigin=”anonymous”> </script> </body> </html> Opening the page inside your browser will display the text with the bootstrap

Launch responsive design in minutes Bootstrap is a CSS framework that was created to assist with certain repetitive CSS tasks. For example, each website has a navigation. Bootstrap allows you to easily implement a navigational menu that automatically adjusts to any screen width. Most of the time we are left without writing any CSS code whatsoever for this specific feature. Bootstrap also utilizes the 12-column grid that UX designers love. As a brief example of the grid, let’s say that you wanted to place two containers next to each other. You can span any length as long as the total

Patch comes later—attackers move now A zero-day exploit is a cyberattack on a system by a hacker that occurs on the same day that a weakness is discovered. It’s called a zero-day because the day on which hackers discover a new vulnerability is generally considered “day zero.” Organizations usually develop and releases a patch to fix the problem, but until that patch is installed, the hackers are free to exploit the weakness in whatever applications they can find. The race between software developers and hackers has created an industry of “zero-day sales” in which anticipated vulnerabilities are bought and sold

In boardrooms and team meetings alike, a new theme is emerging: we’re all starting to manage autonomous AI “agents” alongside our human colleagues. Just a year ago, many companies were merely experimenting with chatbots; now 2025 is being hailed as “the year of the AI agent.” What changed? In the past year, generative AI evolved from a clever chatbot into a capable co-worker embedded in daily operations. Advanced models like OpenAI’s GPT-4 moved beyond simple Q&A and gained the ability to execute tasks via plugins and APIs, effectively becoming digital agents that can carry out multi-step objectives. Tech giants and

When I started in software development, “quality assurance” often meant the newest developer on the team got saddled with testing someone else’s code. I still remember my first bug-fixing and testing tasks, essentially acting as an unofficial QA, learning the ropes through broken builds and edge-case checklists. Fast forward to today: I find myself, sometimes acting as a tech lead, asking ChatGPT to generate those very checklists and test cases. The strangest part? As a senior developer, I’ve become the one clarifying requirements and verifying the output, roles traditionally handled by business analysts and QA engineers. It raises a compelling

Not long ago, I found myself pair programming in a way I never expected. As a former business analyst sitting beside developers, and also a developer sitting alongside developers, I was used to articulating requirements while my human partner typed away. But this time, my partner wasn’t human at all; it was an AI coding assistant. Guiding ChatGPT through building a feature, I had a flashback to Extreme Programming (XP) sessions from years past. The rhythm felt familiar: a “driver” writing code (the AI) and a “navigator” guiding the problem-solving (me). In that moment, I realized that using AI to

I’ve led software engineering teams through many hype cycles, from cloud computing to mobile apps. But 2025 feels different . For the first time, I find myself working alongside autonomous AI “agents” that not long ago were science fiction. In meetings with fellow tech leaders, one theme keeps emerging: AI agents are everywhere. Tech headlines are even calling 2025 the year of the AI agent . As a CTO and software developer (I still love to write code myself, not as much as I used to), I’ve watched generative AI evolve from a clever chatbot into a workforce of problem-solvers