What Is Immutability?
An object is immutable if its state never changes after it is created.
All of its fields are set during construction and stay the same for the entire lifetime of the object.
Important points:
You never modify an immutable object in place.
If you need a “changed” version, you create a new object with the new values.
Methods that look like “updates” actually return a new object instead of editing the old one.
This is the opposite of mutable objects, where fields can be changed by setters or other methods after construction.
Why Immutability Matters in LLD
Immutability is especially useful for value‑like objects and shared data in designs.
Benefits:
Easier reasoning
If an object cannot change, you know that once it’s created, its state is fixed.
There are no surprises from hidden modifications in other parts of the code.
Inherently thread‑safe
Multiple threads can read the same immutable object without any locks, because nobody can modify it.
Good for value objects
Concepts like money amounts, time ranges, and configuration options often behave like values, not entities with a lifecycle.
Treating them as immutable avoids many bugs.
Safer as keys in maps/sets
If something is used as a key in a HashMap or set, changing it after insertion can break lookups.
Immutability prevents that scenario.
In Low Level Design, immutability is a design choice that can simplify parts of your system where values are passed around but should not be changed.
Mutable vs Immutable: Simple Comparison
Take a simple Point representation of a 2D coordinate.
Mutable version
Here:
The point’s coordinates can change over time via
setXandsetY.Different parts of the code might hold references to the same object and see different values at different times.
Immutable version (concept)
No setters.
Fields are set once in the constructor.
Any change returns a new
Point.
This style is explained next in C++ terms.
How to Design an Immutable Class in C++
C++ does not have a special “immutable” keyword, but you can design immutability by following a few rules.
Typical rules:
Make data members private
Do not expose them directly.
Initialize all data in the constructor
After construction, the object is fully defined.
Do not provide setters
No methods that modify internal fields.
Return new objects for “changes.”
Operations that conceptually change the value return a new instance.
Be careful with the mutable member.s
If a field is itself a mutable object (like a vector), avoid exposing it directly; copy when needed.
Example: Immutable Money Value
Consider a simple Money value object representing an amount and currency.
Usage:
Notice:
m1,m2,m3Theym4are all separate objects.None of them changes after they are created.
The methods
subtractreturn newMoneyinstances.
This is a typical immutable “value object” that works very well in LLD and domain modeling.
Example: Immutable Time Range
Another place immutability fits naturally is a time range, for example, a booking period.
Usage:
Again:
morningnever changes. Returnss a new range instead of mutating the existing one.
Where Immutability Fits in LLD
You do not want every class to be immutable.
Immutability is mainly useful for:
Value‑like objects
Amounts of money, distances, dates, time ranges, coordinates, and configuration values.
Shared read‑only configuration
Application settings that are loaded once and then used everywhere without modification.
Keys in maps/sets
Objects used as keys in
std::unordered_map,std::map, orstd::setshould ideally not change after insertion.
In contrast, many “entity” objects in LLD (like User, Order, Booking) naturally have a lifecycle and change over time, so they are usually mutable.
A common pattern is:
Use immutable value objects inside mutable entities.
Example:
Orderis mutable, but it contains an immutableMoneyorTimeRange.
Pros and Cons of Immutability
Advantages
Safety and predictability
Once created, the object cannot be accidentally changed from some other part of the code.
Simpler reasoning and testing
Many tests become “input → output” checks, because no side effects change the internal state across calls.
Thread safety
Multiple threads can safely share an immutable object.
Good fit for functional style
Encourages writing functions without side effects, which is easier to reason about.
Trade‑offs
More object creation
Each “update” creates a new object, which can mean more allocations.
Sometimes inconvenient
For large, complex objects that change frequently, copying a new one each time can be heavy.
Because of this, immutability is usually applied where the object is small and value‑like, not to every class in the system.
Practical Design Tips for Immutability
When designing an immutable class in your LLD:
Keep the class focused and value‑like.
Make all fields private; only read them through getters.
Do not provide setters or any methods that modify fields in place.
Let “update” methods return new objects with modified values.
If you hold mutable fields internally (like
std::vector), avoid returning them directly; consider returning copies or read‑only views.
And when deciding whether to make something immutable:
Prefer immutability for values and shared data.
Prefer mutability for entities with identity and lifecycle (like orders, bookings, users in a system).
Summary
Immutability means that an object’s state never changes after it is created.
Instead of mutating fields, methods return new objects when something needs to change.
You saw:
The difference between mutable and immutable objects.
Why immutability improves safety, reasoning, and thread‑safety for value‑like objects.
How to design immutable classes in C++ by hiding fields, avoiding setters, and returning new instances from “update” operations.
Practical examples with an immutable
Moneyand an immutableTimeRange.Where immutability fits naturally in Low Level Design and what trade‑offs to consider.