Simplify Your Day As Developer

If you have ever worked with data in C++, you have likely hit a common roadblock: How do I read a CSV file? In languages like Python, this is a one-line command. In C++, however, there is no built-in read_csv function in the standard library. Most tutorials will tell you to install huge external libraries like Boost or specialized CSV parsers. But what if you just want a quick, simple solution without the hassle of managing dependencies? Pro Tip: Before you can read a file, you often need to find it first. If you need to iterate through directories or handle cross-platform file paths safely, check out my Ultimate Guide to C++17 std::filesystem . In this guide, I will show you how to read and write CSV files using only standard C++ (STL) . This solution is lightweight, portable, and perfect for simple data tasks. The Strategy: String Streams The secret to parsing CSVs efficiently in C++ lies in the <sstream> header. By treating each line of the file as a stream...

If you have been coding in C++ for more than a few years, you likely remember the "Dark Ages" of file manipulation. If you wanted to list the files in a directory, you had to write one implementation for Windows (using <windows.h> ), another for Linux/macOS (using <dirent.h> ), and then wrap it all in ugly preprocessor directives. It was messy, error-prone, and difficult to maintain. Enter C++17 and the std::filesystem library. This library is arguably one of the most significant quality-of-life improvements in the modern C++ standard. It provides a robust, cross-platform way to interact with the file system, manipulate paths, and iterate over directories. In this ultimate guide, we won't just list files; we will build a complete understanding of how std::filesystem works. By the end of this tutorial, you will know how to: Set up your environment for C++17. Iterate through directories efficiently. Perform recursive searches (scanning subf...

Performance is often the reason developers choose C++ , but with great power comes great responsibility. C++20 introduced many modern conveniences — ranges, coroutines , smart pointers, structured bindings — but if misused, they can lead to subtle and painful performance regressions . In this post, we’ll look at five common C++20 performance pitfalls , why they happen, and what you can do to avoid them — with examples along the way. Suggested Reads :  Co-Routines in C++20 ,  Concept and Requires In C++20 , Latches and Barriers In C++20 ⚙️ 1. Copying Instead of Moving One of the easiest mistakes in modern C++ is accidentally triggering deep copies instead of moves . ❌ The Pitfall std::vector<std::string> names = getNames (); std::vector<std::string> copy = names; // Copies all elements Even if getNames() returns a temporary, a careless assignment or a missing std::move() can lead to unnecessary heap allocations and data duplication. ✅ The Fix Use move...

Microservices are awesome — until you realize you’ve spent half your budget just wiring them up. If you’ve ever created a dozen projects, configured dependency injection, set up logging, and still felt like you’re not writing actual business code , you’re not alone. The good news? With .NET 8 , building a lightweight, budget-friendly microservice has never been simpler. Let’s walk through how you can build one with minimal boilerplate , without losing the essentials. Recommended Watch :  Minimal Web API Why Budget-Friendly Microservices Matter Before we dive into code, let’s talk about the why . Microservices promise scalability, modularity, and independent deployments — but they can also become a maintenance nightmare if you over-engineer them. The trick is to start simple , then add complexity only when necessary . This not only saves development effort but also reduces hosting and maintenance costs — perfect for startups, side projects, or indie developers. 🧱 Step 1: Star...

  📝 Description 🔥 Supercharge your coding efficiency in VS Code! Code Snippet Manager is a lightweight, intuitive Visual Studio Code extension that helps you save , manage , and reuse code snippets on the fly — without digging into configuration files or cluttering your workspace. 🚀 Whether you're a backend developer, frontend wizard, or full-stack engineer — this tool saves time and keeps your favorite snippets just a click away. ✨ Features: 💾 One-click snippet saving from selected text 🔍 QuickPick-based snippet list 📦 Persistent storage (coming soon) ⚡ Fast, no setup required 🧠 Works with any language in VS Code 💡 How It Works Select code in the editor Confirm save via prompt Name your snippet List and reuse it anytime via SnippetManager: List Snippets command 📥 Installation Instructions Download the .vsix file Open VS Code → Extensions → ... → Install from VSIX Use Cmd/Ctrl + Shift + P and search SnippetManager: List Snippets to get started Kindly do checkout...

Introduction Design patterns are essential tools in a developer’s toolkit. Among them, the Chain of Responsibility Design Pattern stands out as a clean way to decouple request senders from receivers. Traditionally, this pattern is implemented using class hierarchies where each handler either processes the request or passes it down the chain. While effective, the classical approach can be verbose and inflexible. With the advent of C++20 coroutines , we now have the power to rethink how we implement such patterns. Coroutines offer a lazy, resumable, and composable mechanism that naturally aligns with the idea of passing control across a chain. In this post, we’ll explore how to modernize the Chain of Responsibility pattern using coroutines, leading to more readable, testable, and flexible code. Whether you're an intermediate developer or a seasoned C++ programmer, this article will show you how modern C++ features can revitalize well-known design patterns. What is the Chain of...

What Is a Blockchain? Shared Google Doc Analogy Just like you and your friends all see the same live document, every participant (node) in a blockchain network holds a full copy of the ledger. If Alice adds a sentence, Bob instantly sees it—on-chain, if one node confirms a transaction, all nodes update too. Decentralized Ledger Traditional ledgers live on one server (a bank, company, etc.). If it’s hacked or fails, you’re out of luck. Blockchain copies that ledger to hundreds or thousands of nodes around the world—no single point of failure. Immutable Records Each new entry becomes part of an immutable chain. To change it, you’d have to re-write every subsequent block on every node—practically impossible. How It Works in 3 Steps Gather Transactions → Make a Block Users broadcast transactions (“Alice pays Bob 2 BTC”). Nodes collect these into a candidate block—like packing letters into an envelope. Each block can hold thousands of transactio...