This article explores simple, complex, and composite value objects in PHP, providing guidelines for their design, validation, immutability, string representation, equality checks, while also discussing alternative error handling approaches such as Either types and union types.
This article explains the fundamentals of Domain‑Driven Design, covering its core ideas such as model‑driven design, ubiquitous language, bounded contexts, layered and hexagonal architectures, and key building blocks like entities, value objects, aggregates, repositories, factories, and services, with practical examples and diagrams.
The article explains the upcoming Java Valhalla project, detailing how value objects, primitive classes, and specialized generics will reshape the JVM’s type system, reduce memory overhead, and introduce new value‑class semantics for more efficient Java programming.
This article explains the Java Valhalla project, its upcoming value objects, primitive classes, and specialized generics, discusses the limitations of Java's type system and object headers, and introduces the concept and features of value classes with code examples.
This article introduces the essential principles of Domain‑Driven Design, explaining its two‑stage approach, key building blocks such as entities, value objects, aggregates, factories, repositories, services, and domain events, and shows how DDD fits into layered architecture and common anti‑patterns.
This article explains why value objects are essential in Domain‑Driven Design, outlines their defining characteristics, shows practical modeling examples, compares different implementation forms, and demonstrates how they can simplify database design while highlighting their advantages and pitfalls.
The article explains DDD’s core building blocks—entities identified by persistent IDs, immutable value objects, and aggregates that group related objects under a single root—using a car‑model case study to show how roots enforce invariants, how factories, repositories and lazy‑loaded references fit within a hexagonal architecture, and why these practices improve modular, maintainable software.
