Recent Blog Posts

In this post, we’ll break down the basics of software testing in a way that’s approachable for newer developers and useful for those looking to level up their skills. We’ll explore different types of tests, some of the most common tools and frameworks you’ll encounter, and practical best practices I’ve picked up through trial, error, and sheer debugging desperation. Whether testing still feels like a mysterious black box or you're just looking to clean up your testing game, this guide will give you the tools to write more confident, stable, and bug-resistant code. Let's open up the toolbox and see what’s inside.
In this post, we’re covering version control: what it is, why it matters, and how Git can save your code and your sanity. We’ll cover the basics of tracking changes, making commits, branching like a boss, and avoiding the dreaded merge conflicts that haunt developers in their sleep. I’ll walk you through the lessons I wish I’d known earlier, along with some real-world examples and practical tips to help you build good habits without getting lost in the command line. Whether you’re new to Git or still pretending you totally understand what “rebase” does, this one’s for you.
In this post, we’ll take a tour through three key algorithmic strategies that go beyond the fundamentals: recursion, backtracking, and graph algorithms. We’ll start with a high-level overview of each approach, then dive into examples to show how they work in practice. Whether you’re building up your problem-solving toolkit for technical interviews or just looking to expand your understanding of what’s possible with code, these patterns will give you new ways to think about complex challenges and the confidence to tackle them.
In this post, we’ll break down what Big-O notation actually is (no scary math, I promise), why it matters more than you might think, and how it affects your everyday work as a developer. We’ll look at how it helps measure the performance of algorithms, how to use it when making design decisions, and some common time complexities you’ll see in the wild - explained with real-world scenarios that make sense.

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