C++ compiles many mistakes that are still expensive. This article shows how `clang-tidy` helps catch subtle language misuse early — and how to introduce it into a real project without chaos.
A practical C++ learning path: what to learn first, what to postpone, and how to build real skills through one project.
Unit tests don’t have to be a “big rewrite.” This article shows a practical way to introduce unit tests into an existing C++ project: integrate GoogleTest with CMake/CTest, start with isolated code, scale with fixtures, and mock external dependencies without turning your codebase upside down.
* 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