Why Your Obsession with Code Coverage is Misguided

Why Your Obsession with Code Coverage is Misguided

The Code Coverage Conundrum In the world of software development, there’s a metric that often gets more attention than it deserves: code coverage. It’s the holy grail for some, the ultimate benchmark of software quality. But, is it really? Let’s dive into why your obsession with code coverage might be more harmful than helpful. The Myth of 100% Coverage Imagine you’ve just achieved 100% code coverage on your latest project. You’ve written tests for every line, every branch, and every condition....

October 10, 2024 · 5 min · 855 words · Maxim Zhirnov
Optimizing React Native App Performance: A Deep Dive

Optimizing React Native App Performance: A Deep Dive

Introduction to Performance Optimization in React Native When developing mobile applications with React Native, performance is a critical factor in ensuring a smooth and responsive user experience. One of the most effective ways to boost performance is by preventing unnecessary re-renders of components. In this article, we will delve into the world of performance optimization in React Native, focusing on practical techniques, code examples, and step-by-step instructions to help you optimize your app like a pro....

October 9, 2024 · 6 min · 1079 words · Maxim Zhirnov
Creating a Tool for Automating Dependency Analysis in Go Projects

Creating a Tool for Automating Dependency Analysis in Go Projects

The Era of Go Modules In the world of Go (Golang), managing dependencies is a crucial aspect of any project. Before the introduction of Go Modules, dependency management was a bit of a wild west, with developers relying on tools like dep, glide, or govendor. While these tools were useful, they were not part of the official Go project, making it challenging for some developers to get started with Go....

October 9, 2024 · 4 min · 852 words · Maxim Zhirnov
Building a Recommendation System for Streaming Services Using Matrix Factorization

Building a Recommendation System for Streaming Services Using Matrix Factorization

The Magic of Recommendations: How Matrix Factorization Works In the world of streaming services, personalized recommendations are the secret sauce that keeps users engaged and coming back for more. Whether you’re a Netflix binge-watcher, a Spotify music enthusiast, or an avid user of any other streaming platform, you’ve likely encountered those “you might also like” suggestions that seem almost magically tailored to your tastes. Behind this magic lies a powerful technique called matrix factorization....

October 9, 2024 · 5 min · 913 words · Maxim Zhirnov
Introduction to Julia: High-Performance Scientific Computing

Introduction to Julia: High-Performance Scientific Computing

The Rise of Julia in Scientific Computing In the ever-evolving landscape of scientific computing, a new star has emerged: Julia. This relatively new programming language has been making waves with its promise of high-performance computing, simplicity, and versatility. If you’re a developer or researcher looking to upgrade your toolkit, Julia is definitely worth a closer look. Why Julia? Julia was first introduced in 2012, but it has quickly gained traction due to its unique blend of features....

October 9, 2024 · 4 min · 805 words · Maxim Zhirnov