This episode traces the history of C++ from the birth of C with Classes by Bjarne Stroustrup, the standardization journey from C++98 to C++23, C++'s role in operating systems and game engines, to the problems it solves compared to traditional approaches.

Before understanding how to write C++, it's important to understand why C++ exists. Every language is born as an answer to a specific problem, and C++ was born out of a researcher's frustration with the limitations of the languages of his time.
This episode opens your journey with the historical background: who created C++, how the language evolved through various standards, where it's used in the real world, and what problems it solves. Understanding this context will make C++ design decisions that seem odd become sensible.
Throughout this series, you'll use various C++ standards — from the modern C++11 to the latest C++23. Understanding the history makes feature choices feel more meaningful.
In late 1979, Bjarne Stroustrup, a computer scientist at Bell Labs, began working on a language originally called C with Classes. He needed a language that stayed as fast as C and could manage system resources directly, but was more expressive for writing complex distributed systems.
The key to his approach: don't create a new language from scratch. He extended C with classes, inheritance, and stricter type checking. The language was first released publicly under the name C++ in 1985, and since then it has become one of the most influential languages in the industry.
The name C++ itself contains a joke: the ++ operator in C increments a value by one, so C++ means "incremented C". This philosophy is reflected throughout the language's history — every standard is a gradual improvement on the previous one.
One reason C++ has lasted so long is its compatibility stability: valid C++98 code generally still compiles on modern compilers, new features are added without removing old ones, and standards are released incrementally so the ecosystem adapts slowly. Industries that have invested millions of lines of code feel safe — other languages often make big breaking changes, while C++ chooses careful evolution.
The principle Stroustrup has held from the start: the abstractions you use must not make your program slower than writing manual C code. You're allowed to write high-level abstractions, but if they're taken apart, that code should still run as fast as a manual implementation. This principle is what's called zero overhead abstractions.
This principle has major implications. Because abstractions must not impose a burden, C++ has no automatic garbage collector like Java — you manage memory yourself through RAII. Templates are instantiated at compile time, not executed through an interpreter. Every feature has to have an explainable cost. This is what keeps C++ relevant in performance-critical fields.
C++ was first standardized by ISO in 1998 as C++98, with a small revision C++03 in 2003. C++98 already included STL, templates, exceptions, and RTTI. But this standard felt heavy: manual C-style programming was still dominant, and the RAII pattern wasn't yet a widespread habit.
C++11 was the biggest leap in the language's history: auto, range-based for, lambdas, move semantics, smart pointers, nullptr, and initializer lists. A language that previously felt ancient suddenly became modern. C++14 added generic lambdas, more flexible constexpr, and other simplifications. Since then, C++ has been considered a living language.
C++17 brought structured bindings, std::optional, and std::variant. C++20 introduced concepts, coroutines, ranges, std::format, and modules. C++23 added std::print, std::expected, and modular improvements. The standard you choose at compile time determines which features are available:
g++ -std=c++17 main.cpp -o main17
g++ -std=c++20 main.cpp -o main20
g++ -std=c++23 main.cpp -o main23The command g++ -std=c++20 main.cpp -o main20 enables C++20 features. The newest standard version supported by your compiler determines which features you can use. Throughout this series, the main examples use C++20 and C++23.
C++'s release cadence has accelerated — from one standard per decade to one every three years. Each iteration expands the language without abandoning compatibility with older programs. Here's a map of the standards at a glance:
| Standard | Year | Key Highlights |
|---|---|---|
| C++98 | 1998 | STL, templates, exceptions, RTTI |
| C++11 | 2011 | auto, lambda, move semantics, smart pointers |
| C++14 | 2014 | generic lambda, more flexible constexpr |
| C++17 | 2017 | structured bindings, optional, variant |
| C++20 | 2020 | concepts, coroutines, ranges, format |
| C++23 | 2023 | print, expected, mdspan |
The table above helps you position old and new code: when you encounter code that uses auto and lambdas, you know it's C++11; when you see std::format, it's C++20. Being able to read the "era" of a piece of code is a valuable skill when maintaining legacy projects.
C++ is the backbone of many operating systems and critical infrastructure. The Chromium kernel, MySQL, and parts of modern operating systems are written in C++. The ability to access hardware directly while also writing complex abstractions makes it ideal for software foundations.
This role isn't a coincidence: such systems demand precise memory control and consistent performance, two things at the core of C++'s design.
The game industry is C++'s biggest user. Unreal Engine, Unity, and Godot are all built with C++. Games demand stable frame rates within milliseconds, and only a language with deterministic memory control can guarantee that. Other real-time applications like simulation and trading also rely on C++.
A tight frame budget means memory allocation can't happen arbitrarily in the middle of rendering. C++ gives you that control through custom allocators and object pooling.
In the embedded world, C++ is used in firmware, car control systems, and medical devices. In high-performance computing, supercomputers run scientific simulations written in C++. Libraries like TensorFlow and PyTorch use C++ for their core computation engine, with Python serving only as the interface.
The main problem C++ solves is the old dichotomy: high-performance languages like C tend to be hard to manage, while easily manageable languages like Smalltalk or Lisp are slow. C++ offers both: you get C-style memory control and pointers, plus classes, templates, and exceptions that make abstraction easier.
With OOP, you model your domain through classes and inheritance. With templates, you write an algorithm once for all data types without losing performance. With RAII, resources like files and memory are freed automatically when an object goes out of scope. Together, the three answer problems that, in traditional approaches, forced programmers to write repetitive, leak-prone code.
Tip
Don't rush to judge C++ as old. The modern features since C++11 have fundamentally changed how this language works — episode 16 will dig into that in depth.
Here's what to take away:
-std according to the features you need.In the next episode, episode 2, we'll discuss core concepts and main architecture — the compilation process from preprocessing to linking, the stack and heap memory model, ABI and name mangling, program structure with header and source files, and build workflows using CMake. This is the technical foundation you'll need in every following episode.