* Manual resource management is fragile and exception-unsafe.
* RAII makes cleanup automatic and reliable.
* Prefer standard RAII types: `std::unique_ptr`, `std::lock_guard`, `std::fstream`, containers.
* Aim for the **Rule of Zero**: let RAII members define correct destruction and ownership.

Adding std::mutex does not automatically make C++ code thread-safe. This article breaks down three practical rules for using std::mutex safely: rely on RAII, keep synchronization boundaries explicit, and treat std::recursive_mutex as a design smell before treating it as a solution.

A technical interview can feel chaotic: time pressure, unfamiliar people, and the need to explain your thinking clearly. This article turns that complexity into a simple C++ interview framework: what interviewers evaluate, how to communicate, how to manage time, and what “clean modern code” should look like under pressure.

Most C++ home assignments aren’t really about writing code.
They’re about how you think, structure a solution, and communicate trade-offs.
This article explains what interviewers actually look for — and how to approach take-home tasks like a real engineer, not a LeetCode machine.

Build Windows binaries from Linux without maintaining a full Windows build environment. MXE + Docker setup, toolchain builds, and shipping DLL dependencies.

Transactional memory looks like an elegant solution to concurrency problems — but in C++, it comes with serious trade-offs.

This article walks through GCC’s transactional memory implementation, explains how atomicity and rollback work in practice, and compares performance against mutex-based solutions. You’ll learn when transactional memory simplifies concurrent code — and when it makes things worse.

When reads dominate writes, a mutex can turn into a scalability bottleneck. This article explains a simple copy-on-write “snapshot” pattern for C++20 using std::atomic: lock-free reads in user code, safe atomic updates for writers, and the trade-offs that decide when this approach is worth it.

Mutexes protect data. Actor-like queues protect behavior. Here’s why the second approach often makes correctness easier—and when it’s the wrong choice.

Precompiled headers are a powerful way to reduce compilation time in C++ projects. The best part is that modern CMake supports them out of the box. In this article, I’ll show you how to set up your CMake project to take advantage of precompiled headers.

Practical techniques: forward declarations, moving implementations to cpp, and PIMPL — explained with real examples.

One major factor that can slow down compilation is headers. When they are too heavy or included in every translation unit, they can significantly increase compilation time.