As AI coding tools become increasingly sophisticated and widespread, a new challenge has emerged for developers: how do we leverage these powerful tools without becoming overly dependent on them? The convenience of AI-generated code is undeniable, but there's a real risk of our fundamental programming skills atrophying if
1. Ignoring ctx.Done() → Goroutine leaks ❌ Wrong: go func() { time.Sleep(10 * time.Second) // never stops if request canceled }() ✅ Fix: go func(ctx context.Context) { select { case <-time.After(10 * time.Second): fmt.Println("done") case <-ctx.Done(): fmt.Println("canceled:", ctx.Err()) } }(r.
Introduction: The Duality of Sylvia Plath Sylvia Plath remains one of the most celebrated and enigmatic figures in 20th-century literature. Her work, characterized by its raw emotional intensity and lyrical brilliance, continues to resonate with readers decades after her untimely death. Yet, her life was marked by profound struggles with
Introduction: Who Was Sisyphus? The myth of Sisyphus comes from ancient Greek mythology. Sisyphus was a cunning king who tricked the gods multiple times. For his deceit, the gods punished him with an eternal task: rolling a massive boulder up a hill, only to watch it roll back down every
Introduction to Synchronization Primitives When writing programs that do multiple things at the same time (like handling multiple users or tasks), we often need to make sure that different parts of the program don't interfere with each other. This is called synchronization. Two popular tools for synchronization are
What Is Rate Limiting and Why Do We Need It? Imagine you own a small ice cream shop. If too many people rush in at once, you can't serve everyone quickly, and some customers might leave unhappy. Rate limiting works the same way for computer programs—it controls
Introduction to Memory Leaks and Performance Issues in Go Memory leaks and performance issues are like slow leaks in a water pipe. Over time, they waste resources and slow down your program. In Go, these problems can sneak up on you, especially in long-running applications like web servers or background
Introduction to Linked Lists in Go A linked list is a data structure where each element (called a node) contains a value and a pointer to the next node. Unlike arrays, linked lists don't require contiguous memory, making them flexible for dynamic data. In Go, we can represent
Introduction to Asynchronous Job Processing Welcome, advanced learners! Today, we’re diving into the fascinating world of asynchronous job processing (pronounced: ay-SINK-ruh-nus job PROH-ses-ing). This is a powerful technique where tasks are executed independently of the main application flow, improving performance and scalability. Imagine a restaurant where the chef doesn’
Solving the LeetCode "Jump Game" Problem in Go Difficulty: Medium | Tags: Array, Dynamic Programming, Greedy Introduction The "Jump Game" problem requires determining whether it's possible to reach the last index of an array, where each element represents the maximum jump length from that position.
Solving the LeetCode "Permutations" Problem in Go Difficulty: Medium | Tags: Array, Backtracking Introduction Generating all permutations of a given array is a classic problem in computer science, often used to test understanding of recursion and backtracking. This problem requires returning all possible orderings of distinct integers in an
Solving the LeetCode "Minimum Path Sum" Problem in Go Difficulty: Medium | Tags: Array, Dynamic Programming, Matrix Introduction The "Minimum Path Sum" problem requires finding the path from the top-left to the bottom-right corner of a grid that minimizes the sum of the numbers along the path.