Cpp Pro

C++ Pro is an AI skill that provides expert-level guidance for modern C++ development including best practices, performance optimization, memory management, and idiomatic patterns. It covers C++17/20/23 features, template metaprogramming, RAII patterns, concurrency primitives, and build system configuration that produce safe, efficient, and maintainable C++ code.

What Is This?

Overview

C++ Pro delivers advanced C++ development guidance covering modern language features and established best practices. It addresses smart pointer usage and ownership semantics that eliminate manual memory management errors, move semantics and perfect forwarding for optimal performance, template programming patterns including concepts and constraints from C++20, concurrency with std::thread, std::async, and coroutines, container selection and algorithm usage for efficient data processing, and build system configuration with CMake for cross-platform project management.

Who Should Use This

This skill serves C++ developers transitioning from older standards to modern C++, systems programmers writing performance-critical applications, game developers working with C++ engines and frameworks, and embedded systems engineers who need efficient code on constrained hardware.

Why Use It?

Problems It Solves

C++ offers enormous power but also allows patterns that lead to memory leaks, undefined behavior, and security vulnerabilities. Developers familiar with older C++ standards miss modern features that simplify code and prevent errors. Template errors produce notoriously unreadable compiler messages. Without guidance on modern idioms, teams write code that is harder to maintain and more prone to bugs.

Core Highlights

The skill promotes RAII and smart pointers to eliminate resource leaks. Modern C++ features like structured bindings, std::optional, and std::variant replace error-prone C-style patterns. Concepts from C++20 produce clear compiler errors for template misuse. Move semantics guidance prevents unnecessary copies in performance-sensitive code.

How to Use It?

Basic Usage

#include <memory>
#include <vector>
#include <algorithm>
#include <optional>

// Modern C++ resource management with smart pointers
class ConnectionPool {
public:
    explicit ConnectionPool(size_t max_size) : max_size_(max_size) {}

    std::optional<std::shared_ptr<Connection>> acquire() {
        std::lock_guard lock(mutex_);
        if (available_.empty()) {
            if (active_count_ < max_size_) {
                auto conn = std::make_shared<Connection>();
                active_count_++;
                return conn;
            }
            return std::nullopt;
        }
        auto conn = std::move(available_.back());
        available_.pop_back();
        return conn;
    }

    void release(std::shared_ptr<Connection> conn) {
        std::lock_guard lock(mutex_);
        available_.push_back(std::move(conn));
    }

private:
    size_t max_size_;
    size_t active_count_ = 0;
    std::mutex mutex_;
    std::vector<std::shared_ptr<Connection>> available_;
};

Real-World Examples

#include <concepts>
#include <ranges>
#include <span>

// C++20 concepts for clear template constraints
template<typename T>
concept Serializable = requires(T obj, std::ostream& os) {
    { obj.serialize(os) } -> std::same_as<void>;
    { T::deserialize(std::declval<std::istream&>()) } -> std::same_as<T>;
};

template<Serializable T>
void save_batch(std::span<const T> items, const std::filesystem::path& path) {
    std::ofstream out(path, std::ios::binary);
    for (const auto& item : items) {
        item.serialize(out);
    }
}

// C++20 ranges for expressive data processing
auto process_sensor_data(std::span<const SensorReading> readings) {
    return readings
        | std::views::filter([](const auto& r) { return r.is_valid(); })
        | std::views::transform([](const auto& r) { return r.calibrated_value(); })
        | std::ranges::to<std::vector>();
}

Advanced Tips

Use std::move on local variables being returned only when the return type differs from the variable type, as compilers apply NRVO (Named Return Value Optimization) automatically in most cases. Prefer std::string_view over const std::string& for function parameters that only read string data. Enable compiler sanitizers (AddressSanitizer, UndefinedBehaviorSanitizer) during development to catch memory and behavior issues early.

When to Use It?

Use Cases

Use C++ Pro when developing performance-critical applications that need fine-grained control over memory and execution, when modernizing legacy C++ codebases to use current language features, when writing systems software including operating system components, drivers, or embedded firmware, or when building game engines or real-time applications with strict latency requirements.

Related Topics

CMake for build management, Conan and vcpkg for package management, sanitizers and static analysis tools, Boost libraries for extended functionality, and the C++ Core Guidelines all complement modern C++ development.

Important Notes

Requirements

A C++ compiler supporting the target standard version, such as GCC 12+, Clang 15+, or MSVC 2022 for C++20 features. CMake 3.20 or later for modern build configuration. Familiarity with core C++ concepts including templates, RAII, and the standard library.

Usage Recommendations

Do: prefer standard library containers and algorithms over hand-written data structures. Use smart pointers for all dynamic memory allocation. Enable compiler warnings at the highest practical level and treat them as errors in CI.

Don't: use raw new and delete when smart pointers can manage the resource. Ignore compiler warnings, as they frequently indicate real bugs. Prematurely optimize code before profiling identifies actual bottlenecks.

Limitations

Modern C++ features increase compile times, especially heavy template usage. The language's complexity means even experienced developers encounter subtle issues with template instantiation and overload resolution. Not all target platforms support the latest C++ standard features, requiring careful feature detection.