Every List<string> and every List<Customer> you've ever created shares the exact same compiled machine code. Every List<int> gets its own. That single fact explains more about generics performance than anything else in this lesson.

You spent Intermediate learning how to write generic types and methods, constrain them, and use covariance/contravariance on generic interfaces. That's the "how to write it" layer. This lesson is about what actually happens once your generic code is compiled and run — because C# generics are implemented in a way that's genuinely different from, say, Java's generics, and that difference has real consequences for both performance and what's possible in the language.

Here's the fact that anchors the whole lesson: List<string> and List<Customer>, despite being "different types," run on the exact same compiled native code at the CLR level. List<int> and List<double>, by contrast, each get their own, separately compiled, specialized native code. Understanding why unlocks a much clearer picture of generic code-size and performance trade-offs — and sets up two genuinely new C# 11+ capabilities: static abstract interface members, which enable "generic math," and self-referencing generic constraints.

In this lesson: how the CLR shares compiled code across reference-type generic instantiations but specializes for each value type, generic virtual/interface method dispatch, static abstract members and generic math, and a first look at self-referencing generic constraints.

What Is It?

Code Sharing — The Core Idea

When you write class Box<T> { T Value; } and use it as Box<string>, Box<Customer>, and Box<int>, the CLR (Common Language Runtime) doesn't treat all three the same way underneath. It groups generic instantiations into two categories based on a simple fact: every reference type is stored the same way — a pointer, always the same size (8 bytes on 64-bit). A value type is stored inline, and different value types have genuinely different sizes and layouts.

Why Does It Exist?

The Problem

A generic system has two competing goals that are hard to satisfy at once: (1) avoid boxing value types — the whole reason generics were added to C# in the first place, replacing pre-generic collections like ArrayList that stored everything as object — and (2) avoid generating a mountain of nearly-identical native code for every generic type used with every reference type, which would bloat assemblies and slow down JIT compilation for no real benefit.

The Need

Value types need genuinely specialized code, because an int and a Guid are laid out completely differently in memory and can't share a single implementation without boxing — which defeats the point. Reference types, by contrast, are all interchangeable at the machine level (a pointer is a pointer), so specializing per reference type would be pure waste.

The Solution — Code Sharing by Category

The CLR's answer: generate one shared native implementation for all reference-type instantiations of a generic type (often called "canonical" code, using object/pointer-shaped storage underneath, with the runtime supplying the exact type information needed for casts and type checks at each call site), and generate a distinct, fully specialized native implementation for each value-type instantiation. This gets you both goals at once: no boxing for value types, and no code bloat for reference types.

Big Picture

How It Works

T Max<T>(T a, T b) where T : IComparable<T>
    => a.CompareTo(b) >= 0 ? a : b;

Simple Example

Static abstract members and generic math (C# 11+)

Before C# 11, an interface could declare instance members but not static ones — so you could never write a generic method constrained to "any type that supports +," because operators are static. static abstract (and static virtual) interface members remove that restriction, and .NET's System.Numerics namespace ships a family of interfaces (INumber<T>, IAdditionOperators<T,T,T>, and others) built on top of it — collectively called "generic math."

// One generic method that works for int, double, decimal, and any other INumber —
// no need to write a separate Sum for each numeric type.
static T Sum<T>(IEnumerable<T> values) where T : INumber<T>
{
    T total = T.Zero;           // T.Zero — a STATIC member accessed through the type parameter itself
    foreach (var value in values)
        total += value;         // uses T's own + operator, via INumber<T>'s static abstract operator members
    return total;
}

Sum(new[] { 1, 2, 3 });           // 6 (int)
Sum(new[] { 1.5, 2.5 });          // 4.0 (double)
Sum(new[] { 10m, 20m, 30m });     // 60 (decimal)

Meaning: T.Zero and total += value are only possible because INumber<T> declares Zero and the arithmetic operators as static abstract members — the constraint where T : INumber<T> guarantees every candidate T supplies them. Before this feature, writing one generic Sum across every numeric type simply wasn't expressible in C#; you'd have needed a separate overload per numeric type, or to fall back on dynamic and lose compile-time checking entirely.

Real-World Example

A generic statistics helper for a reporting service is a realistic place generic math replaces what used to be several near-duplicate methods:

public static class Stats
{
    public static T Average<T>(IReadOnlyCollection<T> values) where T : INumber<T>
    {
        T total = T.Zero;
        foreach (var v in values) total += v;
        return total / T.CreateChecked(values.Count);
    }

    public static T Max<T>(IEnumerable<T> values) where T : INumber<T>
    {
        T? max = null;
        foreach (var v in values)
            if (max is null || v > max) max = v; // INumber<T> also brings comparison operators
        return max ?? T.Zero;
    }
}

decimal revenueAverage = Stats.Average(new[] { 1200m, 950m, 1800m }); // works for decimal...
double  scoreAverage    = Stats.Average(new[] { 88.5, 92.1, 79.4 });   // ...and double, same code

Before generic math, Stats either needed a separate Average(int[])/Average(decimal[])/Average(double[]) per numeric type, or fell back on dynamic/reflection-based arithmetic (slow, and giving up compile-time type checking entirely). One generic method constrained to INumber<T> now covers every current and future numeric type that implements it.

Analogy

Under the Hood

public interface IComparableTo<T> where T : IComparableTo<T>
{
    int CompareTo(T other);
}

public class Money : IComparableTo<Money> // Money "closes the loop" — T is itself
{
    public decimal Amount { get; init; }
    public int CompareTo(Money other) => Amount.CompareTo(other.Amount);
}

Common Confusion

1. "Generics are erased, like Java's" — no, this is a genuinely different model

Java generics are type-erased: at runtime, all generic instantiations collapse to essentially the same bytecode, and value-like primitives (via autoboxing) always end up boxed. C# generics are reified — the runtime retains full type information for each instantiation, which is exactly what makes value-type specialization (and boxing avoidance) possible in the first place. "Code sharing" in this lesson is a deliberate optimization the CLR chooses for reference types specifically because it's safe to do so, not the same thing as erasure.

2. static abstract members are not the same as ordinary static methods on a class

A static method on a concrete class is called directly, by name, with no polymorphism involved. A static abstract interface member is called through a generic type parameter constrained to that interface (like T.Zero inside a method generic over T) — the actual implementation used depends on which concrete type T is at the call site, which is a genuinely new capability, not a renaming of something you already had.

3. Code sharing doesn't mean the types are "the same" — they're still distinct types

List<string> and List<Customer> sharing compiled native code is purely an implementation detail of how the CLR generates machine code. As far as the type system, casting rules, and everything you've learned about generics are concerned, they remain two completely distinct, unrelated types — you still can't assign one to the other, exactly as invariance (covered in the previous module) would lead you to expect.

Common Mistakes

Mistake 1 — Assuming a generic method constrained to an interface always avoids boxing for value types

Believing where T : IComparable<T> is automatically boxing-free for all value types in all contexts. In a genuinely specialized (per-value-type) instantiation it is — but casting the value type to the interface explicitly, or using it in a non-generic context that expects IComparable<T> as a reference, still boxes, exactly as covered in the value-vs-reference-types lesson.

Keep value-typed generic code concrete and generic all the way through; boxing sneaks back in the moment a value type is forced into a non-generic interface-typed variable or parameter.

Mistake 2 — Reaching for many distinct small value-type generic instantiations without considering code size

A library that instantiates a large generic type over dozens of small structs/enums, each triggering its own specialized native compilation, in an application that cares about startup time or binary size (e.g. AOT/trimmed deployments).

This is rarely worth avoiding for ordinary application code — it's a genuine consideration mainly for library authors and AOT-sensitive scenarios. Know the trade-off exists; don't over-engineer around it prematurely.

Mistake 3 — Writing a self-referencing constraint without actually needing type-safety across a family

Reaching for the self-referencing pattern (where T : IThing<T>) purely out of habit for a one-off type with no real family of implementers to guard against cross-type mixing.

It earns its complexity specifically when you need to prevent, at compile time, an unrelated type from satisfying an interface meant only for comparisons/operations within one family (exactly what IComparable<T>/IEquatable<T>/INumber<T> use it for) — not as a default habit for every generic interface you write.

When Should I Use It?

• Reach for static abstract interface members / generic math when you're writing numeric algorithms (statistics, aggregation, financial calculations) that should work identically across int, double, decimal, and custom numeric types, without duplicating the method per type.
• Reach for a self-referencing constraint when you're defining a family of types (comparable-to-each-other, combinable-with-each-other) and need to guarantee at compile time that operations stay within that family.
• Keep the code-sharing model in mind mainly as a mental tool for reasoning about generic performance and code size — it rarely needs to change how you write everyday application code, but it explains real, observable behavior (JIT time, assembly size) when it comes up.

Mental Model

Key Takeaway

Check Your Understanding

You've seen how the CLR compiles generic code differently for reference types versus value types, and two genuinely new capabilities this unlocks. Let's check your understanding.

You now understand what actually happens to generic code at the CLR level, and you've seen two genuinely new C# 11+ capabilities that build directly on it.

dotnetmadeeasy.com — Learn C# and .NET, the right way.