
The Hidden Architectures of Python Dataclasses
Most developers use Python dataclasses for simple boilerplate reduction, but they are ignoring powerful structural tools for immutability and memory efficiency. The real danger lies in how we handle mutable defaults and stable derived fields like URL slugs. Moving beyond basic storage reveals a sophisticated framework where abstract base classes and frozen states ensure code isn't just functional, but architecturally sound.