
Cpp Modern Features
- 240 installs
- 186 repo stars
- Updated July 19, 2026
- thebushidocollective/han
Use cpp-modern-features for development tasks
About
cpp-modern-features: A skill for development. This provides functionality for development workflows.
- cpp-modern-features
Cpp Modern Features by the numbers
- 240 all-time installs (skills.sh)
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| Installs | 240 |
|---|---|
| repo stars | ★ 186 |
| Last updated | July 19, 2026 |
| Repository | thebushidocollective/han ↗ |
What it does
Use cpp-modern-features for development tasks
Files
Modern C++ Features
Modern C++ (C++11 and beyond) introduced significant improvements that make C++ more expressive, safer, and easier to use. This skill covers essential modern features including type inference, lambda expressions, range-based loops, smart initialization, and the latest C++20 additions.
Auto Type Inference
The auto keyword enables automatic type deduction, reducing verbosity while maintaining type safety.
#include <iostream>
#include <vector>
#include <map>
#include <string>
void auto_examples() {
// Simple type inference
auto x = 42; // int
auto pi = 3.14159; // double
auto name = "Alice"; // const char*
auto message = std::string("Hello"); // std::string
// Iterator simplification
std::vector<int> numbers = {1, 2, 3, 4, 5};
// Before C++11
for (std::vector<int>::iterator it = numbers.begin();
it != numbers.end(); ++it) {
std::cout << *it << " ";
}
// With auto
for (auto it = numbers.begin(); it != numbers.end(); ++it) {
std::cout << *it << " ";
}
// Complex types
std::map<std::string, std::vector<int>> data;
auto it = data.find("key"); // Much cleaner than full type
// Return type deduction (C++14)
auto multiply = [](int a, int b) { return a * b; };
// Structured bindings (C++17)
std::map<std::string, int> scores = {{"Alice", 95}, {"Bob", 87}};
for (const auto& [name, score] : scores) {
std::cout << name << ": " << score << "\n";
}
}Lambda Expressions
Lambdas provide inline anonymous functions, essential for modern C++ algorithms and callbacks.
#include <algorithm>
#include <vector>
#include <functional>
#include <iostream>
void lambda_examples() {
std::vector<int> numbers = {5, 2, 8, 1, 9, 3};
// Basic lambda
auto print = [](int n) { std::cout << n << " "; };
std::for_each(numbers.begin(), numbers.end(), print);
// Lambda with capture
int threshold = 5;
auto above_threshold = [threshold](int n) { return n > threshold; };
// Capture by value [=]
auto sum_above = [=]() {
int sum = 0;
for (int n : numbers) {
if (n > threshold) sum += n;
}
return sum;
};
// Capture by reference [&]
int count = 0;
auto count_above = [&count, threshold](int n) {
if (n > threshold) count++;
};
std::for_each(numbers.begin(), numbers.end(), count_above);
// Generic lambda (C++14)
auto generic_print = [](const auto& item) {
std::cout << item << " ";
};
// Lambda as comparator
std::sort(numbers.begin(), numbers.end(),
[](int a, int b) { return a > b; }); // Descending
// Mutable lambda
auto counter = [count = 0]() mutable {
return ++count;
};
std::cout << counter() << "\n"; // 1
std::cout << counter() << "\n"; // 2
}
// Returning lambdas
std::function<int(int)> make_multiplier(int factor) {
return [factor](int n) { return n * factor; };
}Range-Based For Loops
Range-based for loops provide clean, safe iteration over containers and ranges.
#include <vector>
#include <map>
#include <string>
#include <iostream>
void range_based_loops() {
std::vector<int> numbers = {1, 2, 3, 4, 5};
// Basic iteration
for (int n : numbers) {
std::cout << n << " ";
}
// By reference (for modification)
for (int& n : numbers) {
n *= 2;
}
// By const reference (efficient for large objects)
std::vector<std::string> names = {"Alice", "Bob", "Charlie"};
for (const auto& name : names) {
std::cout << name << "\n";
}
// With structured bindings (C++17)
std::map<std::string, int> ages = {
{"Alice", 30},
{"Bob", 25},
{"Charlie", 35}
};
for (const auto& [name, age] : ages) {
std::cout << name << " is " << age << " years old\n";
}
// Initializer in for loop (C++20)
for (std::vector<int> temp = {1, 2, 3}; auto n : temp) {
std::cout << n << " ";
}
}
// Custom range support
class Range {
int start_, end_;
public:
Range(int start, int end) : start_(start), end_(end) {}
struct Iterator {
int current;
Iterator(int val) : current(val) {}
int operator*() const { return current; }
Iterator& operator++() { ++current; return *this; }
bool operator!=(const Iterator& other) const {
return current != other.current;
}
};
Iterator begin() const { return Iterator(start_); }
Iterator end() const { return Iterator(end_); }
};
void use_custom_range() {
for (int i : Range(0, 10)) {
std::cout << i << " ";
}
}Uniform Initialization
Uniform initialization using braces provides consistent syntax and prevents narrowing conversions.
#include <vector>
#include <string>
#include <map>
struct Point {
int x, y;
};
void uniform_initialization() {
// Built-in types
int a{42};
double pi{3.14159};
// Containers
std::vector<int> numbers{1, 2, 3, 4, 5};
std::map<std::string, int> ages{
{"Alice", 30},
{"Bob", 25}
};
// Aggregates
Point p{10, 20};
// Prevents narrowing
// int x{3.14}; // Compiler error!
int x = 3.14; // Compiles (implicit conversion)
// Empty initialization (zero/default)
int zero{}; // 0
std::string empty{}; // ""
// Return value
auto get_numbers = []() { return std::vector<int>{1, 2, 3}; };
}
// Most vexing parse solution
class Widget {
public:
Widget() = default;
Widget(int x) {}
};
void vexing_parse() {
// Before C++11: declares a function!
// Widget w();
// Modern C++: creates an object
Widget w{}; // Correct
Widget w2{10}; // Also correct
}Move Semantics and Rvalue References
Move semantics enable efficient transfer of resources without copying, crucial for performance.
#include <vector>
#include <string>
#include <utility>
#include <iostream>
class Buffer {
size_t size_;
int* data_;
public:
// Constructor
Buffer(size_t size) : size_(size), data_(new int[size]) {
std::cout << "Constructor\n";
}
// Copy constructor
Buffer(const Buffer& other)
: size_(other.size_), data_(new int[other.size_]) {
std::copy(other.data_, other.data_ + size_, data_);
std::cout << "Copy constructor\n";
}
// Move constructor
Buffer(Buffer&& other) noexcept
: size_(other.size_), data_(other.data_) {
other.size_ = 0;
other.data_ = nullptr;
std::cout << "Move constructor\n";
}
// Copy assignment
Buffer& operator=(const Buffer& other) {
if (this != &other) {
delete[] data_;
size_ = other.size_;
data_ = new int[size_];
std::copy(other.data_, other.data_ + size_, data_);
std::cout << "Copy assignment\n";
}
return *this;
}
// Move assignment
Buffer& operator=(Buffer&& other) noexcept {
if (this != &other) {
delete[] data_;
size_ = other.size_;
data_ = other.data_;
other.size_ = 0;
other.data_ = nullptr;
std::cout << "Move assignment\n";
}
return *this;
}
~Buffer() { delete[] data_; }
};
void move_semantics_example() {
Buffer b1(100);
Buffer b2 = std::move(b1); // Move, not copy
std::vector<Buffer> buffers;
buffers.push_back(Buffer(50)); // Move constructor used
// Perfect forwarding
auto make_buffer = [](auto&&... args) {
return Buffer(std::forward<decltype(args)>(args)...);
};
}Variadic Templates
Variadic templates enable functions and classes that accept any number of arguments.
#include <iostream>
#include <string>
// Base case
void print() {
std::cout << "\n";
}
// Recursive variadic template
template<typename T, typename... Args>
void print(T first, Args... rest) {
std::cout << first << " ";
print(rest...);
}
// Fold expressions (C++17)
template<typename... Args>
auto sum(Args... args) {
return (args + ...);
}
template<typename... Args>
auto sum_with_init(Args... args) {
return (args + ... + 0);
}
// Perfect forwarding with variadic templates
template<typename T, typename... Args>
std::unique_ptr<T> make_unique_custom(Args&&... args) {
return std::unique_ptr<T>(new T(std::forward<Args>(args)...));
}
void variadic_examples() {
print(1, 2.5, "hello", std::string("world"));
auto total = sum(1, 2, 3, 4, 5); // 15
// Fold expressions for various operations
auto all_true = [](auto... args) {
return (args && ...);
};
auto any_true = [](auto... args) {
return (args || ...);
};
}Structured Bindings (C++17)
Structured bindings decompose objects into their constituent parts, improving code readability.
#include <tuple>
#include <map>
#include <string>
#include <array>
struct Person {
std::string name;
int age;
double salary;
};
std::tuple<int, std::string, double> get_employee() {
return {42, "Alice", 75000.0};
}
void structured_bindings() {
// Tuple decomposition
auto [id, name, salary] = get_employee();
// Pair decomposition
std::pair<int, std::string> p{1, "one"};
auto [num, text] = p;
// Struct decomposition
Person person{"Bob", 30, 80000.0};
auto [pname, page, psalary] = person;
// Array decomposition
std::array<int, 3> arr{1, 2, 3};
auto [a, b, c] = arr;
// Map iteration
std::map<std::string, int> scores{{"Alice", 95}, {"Bob", 87}};
for (const auto& [name, score] : scores) {
std::cout << name << ": " << score << "\n";
}
// References
auto& [rname, rage, rsalary] = person;
rage = 31; // Modifies person.age
}Concepts (C++20)
Concepts constrain template parameters, providing better error messages and clearer interfaces.
#include <concepts>
#include <iostream>
#include <vector>
// Define custom concept
template<typename T>
concept Numeric = std::integral<T> || std::floating_point<T>;
// Use concept to constrain template
template<Numeric T>
T add(T a, T b) {
return a + b;
}
// Concept with multiple constraints
template<typename T>
concept Printable = requires(T t) {
{ std::cout << t } -> std::convertible_to<std::ostream&>;
};
template<Printable T>
void print(const T& value) {
std::cout << value << "\n";
}
// Range concept
template<typename T>
concept Range = requires(T r) {
r.begin();
r.end();
};
template<Range R>
void print_range(const R& range) {
for (const auto& item : range) {
std::cout << item << " ";
}
std::cout << "\n";
}
// Concept with associated types
template<typename T>
concept Container = requires(T c) {
typename T::value_type;
typename T::iterator;
{ c.begin() } -> std::same_as<typename T::iterator>;
{ c.end() } -> std::same_as<typename T::iterator>;
{ c.size() } -> std::convertible_to<std::size_t>;
};
template<Container C>
void process_container(const C& container) {
std::cout << "Size: " << container.size() << "\n";
}
void concepts_example() {
auto result = add(5, 10); // OK
auto dresult = add(5.5, 2.3); // OK
// auto sresult = add("hi", "there"); // Error: doesn't satisfy
// Numeric
print(42);
print("Hello");
std::vector<int> vec{1, 2, 3};
print_range(vec);
process_container(vec);
}Ranges Library (C++20)
The ranges library provides composable algorithms and views for working with sequences.
#include <ranges>
#include <vector>
#include <iostream>
#include <algorithm>
void ranges_examples() {
std::vector<int> numbers{1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
// Views are lazy and composable
auto even = [](int n) { return n % 2 == 0; };
auto square = [](int n) { return n * n; };
// Compose operations without intermediate containers
auto result = numbers
| std::views::filter(even)
| std::views::transform(square)
| std::views::take(3);
for (int n : result) {
std::cout << n << " "; // 4 16 36
}
std::cout << "\n";
// Range algorithms
std::ranges::sort(numbers, std::greater{});
// Find with projection
struct Person {
std::string name;
int age;
};
std::vector<Person> people{
{"Alice", 30},
{"Bob", 25},
{"Charlie", 35}
};
auto it = std::ranges::find(people, "Bob", &Person::name);
// Views::iota for number generation
for (int i : std::views::iota(1, 6)) {
std::cout << i << " "; // 1 2 3 4 5
}
std::cout << "\n";
// Split view
std::string text = "one,two,three";
for (auto word : text | std::views::split(',')) {
for (char c : word) {
std::cout << c;
}
std::cout << " ";
}
}Best Practices
1. Use auto for complex types and iterators but keep simple types explicit 2. Prefer lambdas over function objects for inline operations and callbacks 3. Use range-based for loops instead of manual iterator manipulation 4. Initialize variables with {} to prevent narrowing conversions 5. Implement move constructors and assignments for resource-owning classes 6. Use std::move when transferring ownership, not for general optimization 7. Prefer structured bindings over std::get<>() for tuples and pairs 8. Use concepts to constrain templates and improve error messages 9. Leverage ranges for composable, lazy operations on sequences 10. Use const auto& for range-based loops with large objects
Common Pitfalls
1. Overusing auto making code less readable when types provide clarity 2. Capturing by reference in lambdas that outlive their captures 3. Using std::move on const objects, which disables move semantics 4. Forgetting noexcept on move operations, preventing optimizations 5. Modifying containers while iterating with range-based for loops 6. Dangling references from structured bindings of temporary objects 7. Using fold expressions without considering operator precedence 8. Assuming ranges views create copies instead of providing lazy views 9. Moving from objects that will be used again later 10. Not marking move constructors and assignments as noexcept
When to Use Modern C++ Features
Use modern C++ features when you need:
- Cleaner, more expressive code with less boilerplate
- Better type safety with concepts and structured bindings
- Improved performance through move semantics
- Functional programming patterns with lambdas and ranges
- Generic programming with less template complexity
- Safer resource management with smart pointers
- Code that's easier to maintain and refactor
- Better compiler error messages with concepts
- Lazy evaluation and composition with ranges
- Migration from older C++ codebases to modern standards