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C++ Templates Cheat Sheet

C++ Templates Cheat Sheet

Covers C++ function and class templates, template specialization, variadic templates, and concepts for writing generic, type-safe code.

3 PagesAdvancedApr 15, 2026

Function Templates

Write one function that works across multiple types.

cpp
template <typename T>T myMax(T a, T b) {    return (a > b) ? a : b;}int i = myMax(3, 7);            // T deduced as intdouble d = myMax(1.5, 2.5);     // T deduced as doublestd::string s = myMax<std::string>("abc", "abd");  // explicit instantiation

Class Templates

Parameterize an entire class by type.

cpp
template <typename T>class Stack {public:    void push(const T& value) { data.push_back(value); }    void pop() { data.pop_back(); }    T& top() { return data.back(); }    bool empty() const { return data.empty(); }private:    std::vector<T> data;};Stack<int> intStack;intStack.push(42);// Non-type template parametertemplate <typename T, size_t N>class FixedArray {    T data[N];};FixedArray<int, 10> arr;

Template Specialization

Provide a custom implementation for a specific type.

cpp
template <typename T>struct TypeName {    static std::string get() { return "unknown"; }};// Full specializationtemplate <>struct TypeName<int> {    static std::string get() { return "int"; }};// Partial specialization (only allowed for class/struct templates)template <typename T>struct TypeName<T*> {    static std::string get() { return TypeName<T>::get() + "*"; }};

Variadic Templates

Accept an arbitrary number of template arguments.

cpp
template <typename T>T sum(T v) { return v; }template <typename T, typename... Args>T sum(T first, Args... rest) {    return first + sum(rest...);       // recursive parameter pack expansion}sum(1, 2, 3, 4);   // 10// C++17 fold expression, no recursion neededtemplate <typename... Args>auto sumFold(Args... args) {    return (args + ...);}

Key Concepts

Terminology for reasoning about templates.

  • Template Instantiation- The compiler generates concrete code for each distinct set of template arguments used.
  • SFINAE- "Substitution Failure Is Not An Error" - invalid substitutions remove an overload from consideration instead of erroring.
  • Concepts (C++20)- Named compile-time predicates that constrain template parameters, e.g. template<std::integral T>.
  • Type Trait- A compile-time metafunction like std::is_integral<T> or std::enable_if, from <type_traits>.
  • Two-Phase Lookup- Template code is checked at definition (non-dependent names) and again at instantiation (dependent names).

C++20 Concepts & Constraints

Constrain template parameters directly with named, composable predicates.

cpp
#include <concepts>template <typename T>concept Addable = requires(T a, T b) {    { a + b } -> std::convertible_to<T>;};template <Addable T>T add(T a, T b) { return a + b; }// abbreviated function template syntaxauto add2(Addable auto a, Addable auto b) { return a + b; }// requires-clause form, useful when combining multiple constraintstemplate <typename T>requires std::integral<T> || std::floating_point<T>T square(T v) { return v * v; }// constrain a class templatetemplate <std::regular T>class Box { T value; };

Template Template Parameters

Pass a class template itself as a parameter to another template.

cpp
template <template <typename, typename> class Container, typename T>class Wrapper {    Container<T, std::allocator<T>> data;public:    void add(const T& v) { data.push_back(v); }    size_t size() const { return data.size(); }};Wrapper<std::vector, int> w;w.add(42);// C++17 class template argument deduction (CTAD)template <typename T>struct Pair {    Pair(T a, T b) : first(a), second(b) {}    T first, second;};Pair p{1, 2};   // T deduced as int, no <int> needed// user-defined deduction guidetemplate <typename T>Pair(T, T) -> Pair<T>;

if constexpr and Compile-Time Branching

Discard the untaken branch entirely at compile time instead of using tag dispatch or SFINAE.

cpp
template <typename T>auto describe(const T& value) {    if constexpr (std::is_pointer_v<T>) {        return value ? *value : throw std::runtime_error("null");    } else if constexpr (std::is_arithmetic_v<T>) {        return value * 2;    } else {        return value;   // e.g. a class type with operator<<    }}// combined with fold expressions to print any number of argstemplate <typename... Args>void logAll(Args&&... args) {    ((std::cout << args << ' '), ...);    std::cout << '\n';}

CRTP (Curiously Recurring Template Pattern)

Achieve static polymorphism with zero virtual-call overhead.

cpp
template <typename Derived>class Shape {public:    double area() const {        // dispatches at compile time, no vtable involved        return static_cast<const Derived*>(this)->areaImpl();    }};class Circle : public Shape<Circle> {public:    explicit Circle(double r) : r(r) {}    double areaImpl() const { return 3.14159 * r * r; }private:    double r;};template <typename T>double totalArea(const Shape<T>& s) { return s.area(); }

Metaprogramming Vocabulary

Terms that show up once you move past basic generic functions.

  • requires-expression- An unevaluated block, requires(args){ ... }, checking whether expressions/types are valid; the building block behind a concept.
  • constexpr if- if constexpr discards the untaken branch at compile time, so it doesn't even need to compile for types where it's invalid.
  • Tag Dispatch- Pre-concepts technique: overload on an empty tag type (e.g. std::true_type) selected via std::enable_if or a trait.
  • Variable Template- template<typename T> constexpr bool is_foo_v = ...; a template that yields a value rather than a type or function.
  • Curiously Recurring Template Pattern (CRTP)- A class derives from a template instantiated with itself, enabling static polymorphism without virtual dispatch.
  • Constraint Subsumption- The compiler picks the most-constrained overload among several that satisfy their concepts, resolving ambiguity automatically.
Pro Tip

Use C++20 concepts (e.g. template<std::integral T>) instead of std::enable_if SFINAE tricks when available - they give far clearer compiler errors and self-documenting constraints.

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The SkillVeris glossary is a free reference of roughly 2,000-plus technology terms, each with a clear plain-language definition. It spans AI, programming, web, DevOps, cloud, security and database vocabulary, so whenever a lesson, article or job description uses jargon you do not recognise, the glossary gives you a fast, reliable answer.
Are the developer cheat sheets on SkillVeris free to download?
The cheat sheets are completely free to use, like everything else on SkillVeris. Each sheet condenses a language or tool into its essential syntax, commands and patterns for quick reference while coding. They are designed for rapid lookup during real work, complementing the deeper explanations found in study notes and courses.
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Cheat sheets work well as interview-day refreshers because they compress syntax, commands and key concepts into scannable references. For dedicated preparation, combine them with the SkillVeris interview questions feature, which includes readiness scoring, plus study notes for depth. Reviewing a relevant cheat sheet just before an interview steadies recall under pressure.
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How is the SkillVeris glossary different from Wikipedia?
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Many blog articles teach technical topics through hobby analogies, a hallmark of the SkillVeris blog, so you will find articles explaining programming through cricket, machine learning through music, or system design through cooking. The analogy is the teaching device; the article still delivers the real technical concept underneath.
Where can I find quick programming references while coding?
Open the SkillVeris cheat sheets, which are built exactly for that moment: compact, scannable references for syntax, commands and common patterns across languages and tools. Keep the relevant sheet in a browser tab while you work in Code Lab or your own editor, and dip into the glossary for terminology.
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Very likely yes, with roughly 2,000-plus terms across AI, programming, web, DevOps, cloud, security and databases, the glossary covers most jargon that appears in tech job descriptions. Decoding a listing this way helps you judge role fit honestly and prepares you to discuss those terms in interviews.
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What makes SkillVeris programming references trustworthy?
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