The Bedrock of Software Design
4 hours ago
- Algebraic data types (ADTs) consist of product types (combining fields) and sum types (one of several variants), with sum types being especially powerful.
- ADTs encode domain rules into the type system, making invalid states unrepresentable and eliminating the need for fragile comments or validation.
- Sum types like Rust's Result explicitly include expected failures in function signatures, ensuring callers handle errors without surprise exceptions.
- Option type models optional values, removing null/undefined ambiguity and forcing handling of absence.
- Exhaustive pattern matching ensures all possible cases are covered, preventing forgotten branches and making code safer.
- When domain models change, exhaustive matching on sum types causes compile errors at every affected location, guiding safe updates.
- Pattern matching reduces mental overhead by letting developers focus on one case at a time while the compiler tracks all combinations.
- Good domain modeling with ADTs means impossible combinations are reflected in the type system, not left as runtime concerns.