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TypeScript Deep Dive
30 minintermediate

Testing TypeScript — Vitest and Type Testing

Testing a TypeScript codebase has two complementary halves: runtime testing, which verifies your code behaves correctly when it runs, and type testing, which verifies your types themselves are correct — that a utility produces the expected type, that a function rejects bad arguments, that an inferred type matches what you intended. Vitest is the modern, TypeScript-native test runner that handles the runtime half with first-class TypeScript support, while type-testing tools (`expectTypeOf`, `tsd`, or the `Equal`/`Expect` pattern) handle the type half. This matters because a typed codebase has type-level logic — generics, conditional types, utility types — that can be just as buggy as runtime logic, yet ordinary tests never exercise it; a `DeepReadonly` that silently produces the wrong type passes every runtime test while being broken. Testing both halves means your behaviour and your type contracts are both verified, which is what gives real confidence in a codebase where the types do meaningful work. Understanding how to test each half is essential for shipping TypeScript that is correct in both dimensions.

Analogy🏏Cricket
🏏 Think of it like cricket: Picture how a scoreboard operator constructs every display string from fixed components in a strict format — a batter's line is always built as `${name} ${runs} (${balls})`, never improvised. The format is a template with slots, and only values that fit each slot are allowed. Just as the scoreboard builds each line by filling a fixed template with the right pieces, a template literal type builds a string type by filling a pattern with other types. Just as a stray entry that does not match the format — text where runs should go — is rejected by the operator, a string that does not match the template literal type is rejected by the compiler. Just as the format guarantees every line is readable and consistent, the template type guarantees every string matches the intended shape. This reveals why template literal types matter: strings in software follow patterns just like scoreboard lines, and encoding the pattern into the type makes every malformed string an immediate error.
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