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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.

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