C++ Function Overloading and Name Mangling Issues

Why don’t more C++ developers talk about Return Value Optimization (RVO)? This optimization has existed in C++ since 1997, yet many developers still assume returning objects is expensive. Let’s take a simple case. A function creates an object and returns it: MyClass Myfun() { return MyClass obj; } Without optimization, you might imagine this happening: • create obj inside Myfun() • copy it when returning to main() • destroy the local object That sounds like extra work, right? Here’s the interesting part. Modern C++ compilers apply Return Value Optimization (RVO). Instead of: create → copy → destroy The compiler simply constructs the object directly in the caller’s memory. So the object is effectively created inside main() from the start. No extra copy. No unnecessary destruction. A subtle optimization — but one that makes returning objects cheap and idiomatic in C++. Small compiler optimizations like this are why understanding how C++ actually works under the hood matters. Did you learn about RVO early, or much later in your C++ journey? #CPP #SoftwareEngineering #Programming #SystemsProgramming #Developers

Refreshing programming language specifications Ivanova-style. "The compiler...is always right. I will listen to the compiler. I will not ignore the compiler's recommendations. The compiler...is God. And, if this ever happens again, the compiler will personally rip your code out!"

Most of us know that adding strings in a loop is a performance killer. Still, even a single line of concatenation can create a "terrifying abyss" of temporary objects and unnecessary memory allocations. I just published a deep dive on Medium about String Expressions—a technique that gives you JavaScript-level syntax with performance that beats manual reserve() and append() optimization. In this post: ✅ Why std::format isn't always the answer. ✅ The hidden cost of std::to_string. ✅ How the simstr library uses lazy evaluation to achieve 20% faster results than manual C++ code. #cpp #programming #algorithms

C15 Union Types: finally, compiler-checked “either/or” results 🚨 Tired of returning object (or building awkward base classes) just to say “this method returns A *or* B”? C15 brings a real solution: union types. ✨ What clicking gets: ✅ How `union` declares a closed set of case types (even unrelated ones) ✅ Implicit conversions so assignments stay clean ✅ Exhaustive pattern matching—the compiler forces every case to be handled (no `_` / `default` safety blanket) ✅ A clear roadmap for broader exhaustiveness in C# 🧠 Example vibe: define `Pet(Cat, Dog, Bird)` once… then `switch` with confidence knowing every case is covered. If discriminated unions were missed in C#, this is the most C#-native take yet. 🔥 https://lnkd.in/dsu5t_8M #csharp #dotnet #programming #patternmatching #compilers

Solved a Gray Code problem in C++ today. The task was to generate bit patterns from 0 to 2^n - 1 such that every consecutive pattern differs by only one bit, while always starting from 0. I used the Gray code formula: gray = i ^ (i >> 1) This makes the solution clean and efficient, and guarantees that adjacent codes differ by exactly one bit. Example for n = 2: 00 -> 01 -> 11 -> 10 What I like about this problem is how a simple bit manipulation formula can solve what looks like a complex sequence-generation challenge. Concepts practiced: Bit Manipulation Binary Representation Pattern Generation C++ Problem Solving #cpp #coding #programming #datastructures #algorithms #problemsolving #bitmanipulation #leetcode #geekforgeeks

“The Bug That Crashed My C Program in Seconds ⚠️” In C programming, writing code is just the beginning — understanding and debugging errors is what builds real expertise. Each type of error teaches: ✔ How the compiler works ✔ How memory is handled ✔ How programs execute internally 👉 Most errors don’t exist alone — they evolve from one type to another. #CProgramming #Debugging #ECE #ProgrammingBasics #EmbeddedSystems

 C++ Trap: This code won't compile Both calls to test() are ambiguous, and the compiler will refuse to choose. Here's what's happening: • test("hey") — "hey" is a const char*. It can implicitly convert to BOTH std::string (by value) AND const std::string& (temp bound to const ref). The compiler sees two equally valid paths and gives up. • test(str) — str is already a std::string. It can be passed by copy OR bound to a const ref. Again, no winner. The root cause: A const T& overload and a T (by-value) overload can NEVER coexist unambiguously for lvalue arguments. The C++ overload resolution rules simply don't rank one over the other. The fix? Just keep the const std::string& version. It avoids unnecessary copies and works for all cases : lvalues, rvalues, and string literals alike. void test(const std::string& str); // This is all you need #cpp #cplusplus #programming #softwaredevelopment #coding

I solved a major problem every hardware reverse engineer comes across at least once. It's not uncommon for hardware reverse engineers to come across an unfamiliar/niche architecture with limited tooling. You either have to compromise with an anarchic compiler from 2002 or write your own backend for the newest compilers around, both of which take an extraordinary amount of time to get working. While backends like LLVM exist, they still fail to simplify the process. I designed CHance–a modular, modern, and expressive programming language. CHance aims to sit between C and C#, matching C's low-level support with C#'s modern syntax. CHance uses its own IR, named ChanceCode. ChanceCode is designed to be sweet and simple, only using what you need. ChanceCode's compiler uses a modular backend system, allowing anyone to create a simple backend in minutes. The compiler leaves all control up to the backends, trusting their authority. The CHance toolchain doesn't end there! The CHance Assembler is the third step in the chain. It's incredibly easy to add your own architecture to it, emitting to whatever you desire. The final step is the CHance Linker, which can easily be modified to add a new architecture or new output format. If you believe this project has potential–or appreciate the work behind it–feel free to star the project on GitHub! Check it out in my projects: https://lnkd.in/gaj-xDTH

Built a custom string handling class in C++ from scratch — without using std::string. This project focuses on: • Dynamic memory management using new[] and delete[] • Implementation of the Rule of Three (Destructor, Copy Constructor, Copy Assignment) • Manual string manipulation algorithms (reverse, case conversion, word counting) • Operator overloading for intuitive usage (+, +=, [], (), comparison operators) The goal was to deeply understand how strings work internally rather than relying on built-in abstractions. A great exercise in mastering memory management, object-oriented programming, and low-level string operations in C++. #cpp #programming #softwareengineering #oop #learning #developers

Every C++ developer eventually learns this truth: Writing code is the easy part. Debugging memory issues is the real challenge. A simple bug like: • dangling pointer • double free • memory corruption can take hours to diagnose. Over time I realized something important: Great engineers don’t just write code. They write code that is hard to break. What is the hardest bug you have debugged? #cpp #debugging #softwareengineering #programming #developerlife