Posts

We live in an age where we obsess over every kilobyte of our JavaScript bundles, but somehow never stop to think about the kilograms of CO2 our code is burning. Ironic, isn’t it? Here’s a wake-up call: the Information and Communication Technology sector is responsible for approximately 4% of global greenhouse gas emissions—that’s equivalent to the entire aviation industry. And it’s getting worse. Projections suggest this figure could skyrocket to 14% by 2040 if we don’t fundamentally change how we develop software....

Why Desktop Apps in 2025? Because the Web Isn’t Everything Let’s be honest—we all love JavaScript. It’s everywhere. You can build web apps, mobile apps, CLI tools, and even smart toasters with it (probably). But there’s one frontier that sometimes feels left behind: the desktop. Sure, you could argue that web apps are sufficient, but there’s something satisfying about shipping a native-looking application that works offline, has real file system access, and doesn’t require users to open yet another browser tab....

When I first launched my startup, I had a vision so clear I could practically taste it. Six months later, that vision tasted more like ash. The product nobody wanted, the feature everyone ignored, the pivot that should have happened three months earlier—all of it pointed to one unavoidable truth: I had failed spectacularly. But here’s the thing nobody tells you in those inspirational TED talks—failure doesn’t taste bad because you did something wrong....

We’ve all been there. You’ve spent years mastering Python, or maybe you’re that person who won’t stop defending Rust at dinner parties. Your preferred language feels like an extension of your brain—you can write it with your eyes closed, debug it in your sleep, and argue its superiority on the internet before your coffee gets cold. But here’s the uncomfortable truth: that superpower might be silently anchoring you to the ocean floor while the industry ships sail by....

If you’re anything like me, you’ve probably wondered why your inbox isn’t completely overrun with emails promising to enlarge things that definitely don’t need enlarging. The answer lies in machine learning—specifically, a deceptively simple yet remarkably effective algorithm called Naive Bayes. Today, we’re going to build a spam filter that would make any email provider’s engineers nod in approval (or at least not laugh at our code). The Problem We’re Solving Spam is like that uninvited guest at a party who won’t leave—except instead of one person ruining your evening, you’ve got thousands of messages clogging up your inbox every single day....