The underlying message of all these rules is that inheritance tends to work against the primary technical imperative you have as a programmer, which is to manage complexity. For the sake of controlling complexity, you should maintain a heavy bias against inheritance.
This quote highlights a critical aspect of software design—how managing complexity is central to writing maintainable and scalable code. Inheritance, a fundamental principle of object-oriented programming, is often championed for its ability to promote code reuse and establish hierarchies. However, it’s not without drawbacks. When overused or misapplied, inheritance can lead to tightly coupled code, making it difficult to understand, modify, or extend. The resulting complexity can obscure the flow of programs and introduce subtle bugs that are hard to trace.
Choosing to favor composition over inheritance is a common strategy advocated by many experienced developers, including those featured in 'Code Complete' by Steve McConnell. Composition allows for more flexible and decoupled designs, making systems easier to reason about and less prone to unforeseen side effects. This approach aligns with the primary technical imperative of controlling complexity—reducing interdependencies and enhancing modularity.
In larger projects, where requirements evolve rapidly, maintaining a lean and understandable codebase is paramount. Excessive inheritance can create rigid structures that resist change, thereby increasing technical debt over time. Conversely, advocating for better structuring through aggregation and interfaces can minimize hidden dependencies, improve testability, and facilitate maintenance.
Ultimately, the quote serves as a reminder that while inheritance can be useful, it should be employed judiciously. The goal of a programmer should be to create clear, adaptable, and manageable codebases, and sometimes that means resisting the temptation to inheritance-centric designs and instead focusing on simplicity and clarity.