| name | typescript-strict |
| description | TypeScript strict mode patterns including schema-first development, branded types, type vs interface guidance, and tsconfig strict flags. Use when writing TypeScript code, defining types or schemas, or reviewing type safety. For immutability and pure function patterns, see the functional skill. |
TypeScript Strict Mode
Core Rules
- Use
unknown at untrusted boundaries. Contain unavoidable any in external declarations or interop shims and explain it
- No type assertions (
as Type) without justification
- Follow the repository's
type/interface convention. Choose from language semantics when no convention exists
Type vs Interface
type — unions, tuples, mapped types, and closed aliases
export type User = {
readonly id: string;
readonly email: string;
readonly name: string;
readonly roles: ReadonlyArray<string>;
};
Type aliases can name unions, intersections, tuples, primitives, mapped types, and object shapes. They cannot be reopened through declaration merging.
interface — extendable object contracts
export interface UserRepository {
findById(id: string): Promise<User | undefined>;
save(user: User): Promise<void>;
}
Interfaces describe object shapes, work with implements, extend with conflict checking, and support declaration merging. They are useful for behavior contracts and deliberately open extension points, but are not forbidden for data shapes.
Schema Duplication
Define a schema once per owned contract, version, and bounded context, then
import it within that boundary. Do not couple independently deployed consumers
or contexts merely because their fields happen to match today; validate and
translate at each trust boundary, with contract tests where drift matters.
export const CreateUserRequestSchema = z.object({
email: z.email(),
name: z.string().min(1),
});
export type CreateUserRequest = z.infer<typeof CreateUserRequestSchema>;
Where schemas belong: validate at trust boundaries (HTTP handlers, queue consumers, file/env parsing, third-party API responses), then pass plain derived types through internal logic — internal functions trust their inputs. Prefer schema libraries implementing Standard Schema (Zod 4+, Valibot, ArkType) so validation tooling stays interchangeable.
Strict Mode Configuration
tsconfig.json Settings
{
"compilerOptions": {
"strict": true,
"noImplicitAny": true,
"strictNullChecks": true,
"noUnusedLocals": true,
"noUnusedParameters": true,
"noImplicitReturns": true,
"noFallthroughCasesInSwitch": true,
"noUncheckedIndexedAccess": true,
"exactOptionalPropertyTypes": true,
"noPropertyAccessFromIndexSignature": true,
"forceConsistentCasingInFileNames": true,
What Each Setting Does
Strict baseline:
strict: true - Enables the strict type-checking family, including noImplicitAny and strictNullChecks
Additional project checks:
noUnusedLocals - Error on unused local variables
noUnusedParameters - Error on unused function parameters
noImplicitReturns - Error when not all code paths return a value
noFallthroughCasesInSwitch - Error on fallthrough cases in switch statements
Additional safety flags to assess against the codebase:
noUncheckedIndexedAccess - Array/object access returns T | undefined (prevents runtime errors from assuming elements exist)
exactOptionalPropertyTypes - Distinguishes property?: T from property: T | undefined (more precise types)
noPropertyAccessFromIndexSignature - Requires bracket notation for index signature properties (forces awareness of dynamic access)
forceConsistentCasingInFileNames - Prevents case sensitivity issues across operating systems
allowUnusedLabels - Error on unused labels (catches accidental labels that do nothing)
Additional Rules
- Prefer a justified, narrow
@ts-expect-error over @ts-ignore when an upstream typing defect cannot yet be fixed
- Apply the repository's type-safety policy to tests too; use deliberate test-only interop shims rather than weakening global configuration
Architectural Insight: noUnusedParameters Catches Design Issues
The noUnusedParameters rule can reveal architectural problems:
Example: A function with an unused parameter often indicates the parameter belongs in a different layer. Strict mode catches these design issues early.
Immutability, Pure Functions, and Composition
For detailed patterns on immutability (readonly, ReadonlyArray), pure functions, composition, Result types, array methods, and factory functions, see the functional skill. These are the canonical patterns used across the codebase.
Key TypeScript-specific notes:
- Use
readonly and ReadonlyArray<T> where immutability is part of the contract, especially shared domain values
- The compiler enforces shallow property immutability; it does not make nested runtime values deeply immutable
- Choose factories or classes from invariant, lifecycle, and project-convention needs; dependency injection does not require either form
Schema-First at Trust Boundaries
When Runtime Schemas Are Required
A runtime schema is required when untrusted data crosses a boundary and the
program must validate its shape or constraints before using it. Common
signals include:
- HTTP, queue, file, environment, or third-party data entering the system
- A data contract exchanged between independently deployed systems
- Contract-shaped test fixtures where reusing an existing production schema
adds useful evidence
Internal invariants do not require a schema by default. A smart constructor,
branded type, or domain value object may be the clearer owner when values are
created and consumed inside one trusted process.
const UserSchema = z.object({
id: z.uuid(),
email: z.email(),
});
type User = z.infer<typeof UserSchema>;
const user = UserSchema.parse(apiResponse);
When Schemas AREN'T Required
- Pure internal types (utilities, state)
- Result/Option types (no validation needed)
- TypeScript utility types (
Partial<T>, Pick<T>, etc.)
- Behavior contracts (interfaces - structural, not validated)
- Component props (unless from URL/API)
type Result<T, E> =
| { success: true; data: T }
| { success: false; error: E };
interface UserService {
createUser(user: User): void;
}
Branded Types
For type-safe primitives:
type UserId = string & { readonly brand: unique symbol };
type PaymentMinorUnits = number & { readonly brand: unique symbol };
type Currency = 'GBP' | 'USD' | 'EUR';
type PaymentMoney = {
readonly minorUnits: PaymentMinorUnits;
readonly currency: Currency;
};
const processPayment = (userId: UserId, amount: PaymentMoney) => {
};
processPayment('user-123', 100);
const toUserId = (raw: string): UserId => {
if (raw.length === 0) throw new Error('UserId cannot be empty');
raw ;
};
toPaymentMinorUnits = (: ): {
(!.(raw) || raw <= ) {
();
}
raw ;
};
toPaymentMoney = (: , : ): ({
: (minorUnits),
currency,
});
((), (, ));
Never scatter as UserId through application code — the assertion lives only inside the constructor (or a schema's transform), so every branded value has passed validation.
The payment boundary above accepts already-rounded integer minor units, so NaN, infinities, and binary-float fractions are rejected. If a boundary instead accepts decimal major-unit text, parse it with the currency's minor-unit exponent and a named rounding policy (or reject excess precision); never use Math.round(rawNumber * 100).
Summary Checklist
When writing TypeScript code, verify: