JavaScript Fatigue 2.0: Are Modern Frameworks Killing Web Development?

JavaScript Fatigue 2.0: Are Modern Frameworks Killing Web Development?

Remember that existential crisis you had in 2016 when you had to choose between Angular, React, and Vue? Well, buckle up buttercup, because JavaScript Fatigue 2.0 is here, and it’s brought friends. Lots of them. With confusing names like SvelteKit, Remix, Astro, Qwik, and about 47 different ways to render a simple “Hello World” on the server. JavaScript fatigue is the overwhelming, sometimes paralyzing feeling developers get from the rapid pace of change in the JavaScript ecosystem....

August 26, 2025 · 8 min · 1704 words · Maxim Zhirnov
Building a Sentiment Analysis Powerhouse: BERT and TensorFlow in Harmony

Building a Sentiment Analysis Powerhouse: BERT and TensorFlow in Harmony

Who hasn’t wondered what those movie reviews on IMDb are really saying beneath the surface? I mean, “this film was okay” could mean anything from “I’d watch it again tomorrow” to “I’d rather staple my eyelids shut.” Today, we’re going to build a sentiment analysis system that cuts through the ambiguity like a hot knife through butter—using BERT and TensorFlow. Stick with me, and by the end of this post, you’ll have a model that can sniff out sarcasm better than your ex....

August 25, 2025 · 10 min · 1982 words · Maxim Zhirnov
Why Your Team Should Occasionally Break the Rules

Why Your Team Should Occasionally Break the Rules

Let me guess - when you read that title, you probably thought I was going to tell you to ignore coding standards, skip code reviews, or deploy directly to production on a Friday afternoon. Plot twist: I’m actually talking about a different kind of rule-breaking that’s far more radical in most workplaces - the audacious act of taking breaks. I know, I know. Revolutionary stuff right here. But before you close this tab and go back to your 47th consecutive hour of debugging that memory leak, hear me out....

August 25, 2025 · 9 min · 1757 words · Maxim Zhirnov
Algorithmic Reparations: Why Your Legacy ML Systems Need More Than a Band-Aid

Algorithmic Reparations: Why Your Legacy ML Systems Need More Than a Band-Aid

Picture this: you’re a software architect in 2025, staring at a decade-old machine learning system that’s been making hiring decisions for your company. The model works technically – it processes applications, spits out scores, and helps HR make faster decisions. But then you discover it’s been systematically disadvantaging certain demographic groups for years. Your first instinct? Apply some fairness metrics, maybe add a bias correction layer, and call it a day....

August 23, 2025 · 12 min · 2501 words · Maxim Zhirnov
From Jupyter to Production: Your No-Stress Guide to ML Model Deployment

From Jupyter to Production: Your No-Stress Guide to ML Model Deployment

Remember that exhilarating moment when your model finally achieves 95%+ accuracy on the test set? That feeling when you think, “I’ve cracked the code!”? Yeah, me too. Then reality hits - your model is still sitting pretty in a Jupyter notebook while your boss asks, “When will customers actually use this?” Cue panic. Been there, debugged that. Let’s walk through taking your model from “looks good in training” to “actually making business impact” without pulling out all your hair....

August 22, 2025 · 8 min · 1692 words · Maxim Zhirnov