JavaScript and WebAssembly: Turbocharging Your Web Applications

JavaScript and WebAssembly: Turbocharging Your Web Applications

The Performance Conundrum: JavaScript vs. WebAssembly In the fast-paced world of web development, performance is king. As developers, we’ve all been there: you build a web application, and it works beautifully… until it doesn’t. The moment you add more features, the website starts to slow down, and those smooth animations turn into choppy, frustrating experiences. This is where the limitations of JavaScript become apparent, and that’s where WebAssembly steps in to save the day. ...

September 13, 2024 · 5 min · 909 words · Maxim Zhirnov
Why Your Estimates are Always Wrong (and Why That's Okay)

Why Your Estimates are Always Wrong (and Why That's Okay)

The Estimation Conundrum: Why Your Estimates are Always Wrong Estimating software development time is a bit like trying to predict the weather a year from now. You can use all the fancy tools and models you want, but at the end of the day, it’s still a guess. And guess what? Your guesses are probably wrong. But here’s the thing: that’s okay. The Nature of Software Estimation Software development is inherently unpredictable. Every project is unique, and even if you’ve done something similar before, there are always new variables to consider. This unpredictability makes estimation a challenging task. As Dave Farley points out, trying to increase the precision of estimates is often the wrong approach. Instead, we should focus on making our estimates more useful and realistic. ...

September 13, 2024 · 5 min · 893 words · Maxim Zhirnov
Why Most Developers Shouldn't Write Their Own Machine Learning Frameworks

Why Most Developers Shouldn't Write Their Own Machine Learning Frameworks

The Allure and the Pitfalls of Custom Machine Learning Frameworks Machine learning (ML) has become the holy grail of modern software development, promising to revolutionize everything from chatbots to self-driving cars. However, the journey to ML nirvana is often fraught with challenges, especially when developers decide to write their own ML frameworks from scratch. In this article, we’ll delve into why this approach is usually a recipe for disaster and why leveraging existing frameworks is the smarter, more practical choice. ...

September 13, 2024 · 3 min · 563 words · Maxim Zhirnov
Why Your Code Isn't as Innovative as You Think It Is

Why Your Code Isn't as Innovative as You Think It Is

The Illusion of Innovation In the world of software development, innovation is often touted as the holy grail. We strive to create something new, something groundbreaking, something that changes the game. But let’s face it: most of the time, our code isn’t as innovative as we think it is. Why? Because we’re often stuck in a cycle of repetition, leveraging existing frameworks and libraries without truly pushing the boundaries. The Comfort Zone of Frameworks Modern software development frameworks have made our lives easier, but they’ve also made us complacent. We rely heavily on these frameworks to do the heavy lifting, which means we’re not always forced to think outside the box. For instance, when you’re building an application, you might use a framework that handles everything from authentication to data visualization. While this speeds up development, it also means you’re not necessarily creating something new; you’re just assembling pieces that already exist. ...

September 13, 2024 · 4 min · 741 words · Maxim Zhirnov
Building an Equipment Failure Prediction System with Random Forest

Building an Equipment Failure Prediction System with Random Forest

Introduction to Predictive Maintenance Predictive maintenance is the holy grail of industrial operations, allowing companies to anticipate and prevent equipment failures before they happen. This proactive approach not only saves time and money but also ensures smoother operations and higher productivity. One of the most powerful tools in the predictive maintenance arsenal is the Random Forest algorithm. In this article, we’ll delve into how to build a robust equipment failure prediction system using Random Forest, complete with step-by-step instructions and practical examples. ...

September 13, 2024 · 4 min · 814 words · Maxim Zhirnov