Claude Cursor Skill

typescript-advanced-types

Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety

LLM Mart · 0 points · 14 views 0 listing impressions 0 install-command copies
Virus-scanned Reviewed automatically before listing.

Full trust report

Download wshobson-agents-plugins_javascript-typescript_skills_typescript-advanced-types-554237f.zip · 6 KB
Part of wshobson/agents — 170 skills

Install

skills CLI npx skills add https://github.com/wshobson/agents/tree/main/plugins/javascript-typescript/skills/typescript-advanced-types
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install wshobson-agents@llmmart
Git git clone https://github.com/wshobson/agents.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole wshobson/agents collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

TypeScript Advanced Types

Comprehensive guidance for mastering TypeScript's advanced type system including generics, conditional types, mapped types, template literal types, and utility types for building robust, type-safe applications.

When to Use This Skill

  • Building type-safe libraries or frameworks
  • Creating reusable generic components
  • Implementing complex type inference logic
  • Designing type-safe API clients
  • Building form validation systems
  • Creating strongly-typed configuration objects
  • Implementing type-safe state management
  • Migrating JavaScript codebases to TypeScript

Core Concepts

1. Generics

Purpose: Create reusable, type-flexible components while maintaining type safety.

Basic Generic Function:

function identity<T>(value: T): T {
  return value;
}

const num = identity<number>(42); // Type: number
const str = identity<string>("hello"); // Type: string
const auto = identity(true); // Type inferred: boolean

Generic Constraints:

interface HasLength {
  length: number;
}

function logLength<T extends HasLength>(item: T): T {
  console.log(item.length);
  return item;
}

logLength("hello"); // OK: string has length
logLength([1, 2, 3]); // OK: array has length
logLength({ length: 10 }); // OK: object has length
// logLength(42);             // Error: number has no length

Multiple Type Parameters:

function merge<T, U>(obj1: T, obj2: U): T & U {
  return { ...obj1, ...obj2 };
}

const merged = merge({ name: "John" }, { age: 30 });
// Type: { name: string } & { age: number }

2. Conditional Types

Purpose: Create types that depend on conditions, enabling sophisticated type logic.

Basic Conditional Type:

type IsString<T> = T extends string ? true : false;

type A = IsString<string>; // true
type B = IsString<number>; // false

Extracting Return Types:

type ReturnType<T> = T extends (...args: any[]) => infer R ? R : never;

function getUser() {
  return { id: 1, name: "John" };
}

type User = ReturnType<typeof getUser>;
// Type: { id: number; name: string; }

Distributive Conditional Types:

type ToArray<T> = T extends any ? T[] : never;

type StrOrNumArray = ToArray<string | number>;
// Type: string[] | number[]

Nested Conditions:

type TypeName<T> = T extends string
  ? "string"
  : T extends number
    ? "number"
    : T extends boolean
      ? "boolean"
      : T extends undefined
        ? "undefined"
        : T extends Function
          ? "function"
          : "object";

type T1 = TypeName<string>; // "string"
type T2 = TypeName<() => void>; // "function"

3. Mapped Types

Purpose: Transform existing types by iterating over their properties.

Basic Mapped Type:

type Readonly<T> = {
  readonly [P in keyof T]: T[P];
};

interface User {
  id: number;
  name: string;
}

type ReadonlyUser = Readonly<User>;
// Type: { readonly id: number; readonly name: string; }

Optional Properties:

type Partial<T> = {
  [P in keyof T]?: T[P];
};

type PartialUser = Partial<User>;
// Type: { id?: number; name?: string; }

Key Remapping:

type Getters<T> = {
  [K in keyof T as `get${Capitalize<string & K>}`]: () => T[K];
};

interface Person {
  name: string;
  age: number;
}

type PersonGetters = Getters<Person>;
// Type: { getName: () => string; getAge: () => number; }

Filtering Properties:

type PickByType<T, U> = {
  [K in keyof T as T[K] extends U ? K : never]: T[K];
};

interface Mixed {
  id: number;
  name: string;
  age: number;
  active: boolean;
}

type OnlyNumbers = PickByType<Mixed, number>;
// Type: { id: number; age: number; }

4. Template Literal Types

Purpose: Create string-based types with pattern matching and transformation.

Basic Template Literal:

type EventName = "click" | "focus" | "blur";
type EventHandler = `on${Capitalize<EventName>}`;
// Type: "onClick" | "onFocus" | "onBlur"

String Manipulation:

type UppercaseGreeting = Uppercase<"hello">; // "HELLO"
type LowercaseGreeting = Lowercase<"HELLO">; // "hello"
type CapitalizedName = Capitalize<"john">; // "John"
type UncapitalizedName = Uncapitalize<"John">; // "john"

Path Building:

type Path<T> = T extends object
  ? {
      [K in keyof T]: K extends string ? `${K}` | `${K}.${Path<T[K]>}` : never;
    }[keyof T]
  : never;

interface Config {
  server: {
    host: string;
    port: number;
  };
  database: {
    url: string;
  };
}

type ConfigPath = Path<Config>;
// Type: "server" | "database" | "server.host" | "server.port" | "database.url"

5. Utility Types

Built-in Utility Types:

// Partial<T> - Make all properties optional
type PartialUser = Partial<User>;

// Required<T> - Make all properties required
type RequiredUser = Required<PartialUser>;

// Readonly<T> - Make all properties readonly
type ReadonlyUser = Readonly<User>;

// Pick<T, K> - Select specific properties
type UserName = Pick<User, "name" | "email">;

// Omit<T, K> - Remove specific properties
type UserWithoutPassword = Omit<User, "password">;

// Exclude<T, U> - Exclude types from union
type T1 = Exclude<"a" | "b" | "c", "a">; // "b" | "c"

// Extract<T, U> - Extract types from union
type T2 = Extract<"a" | "b" | "c", "a" | "b">; // "a" | "b"

// NonNullable<T> - Exclude null and undefined
type T3 = NonNullable<string | null | undefined>; // string

// Record<K, T> - Create object type with keys K and values T
type PageInfo = Record<"home" | "about", { title: string }>;

Detailed worked examples and patterns

Detailed sections (starting with ## Advanced Patterns) live in references/details.md. Read that file when the navigation summary above is insufficient.

Best Practices

  1. Use unknown over any: Enforce type checking
  2. Prefer interface for object shapes: Better error messages
  3. Use type for unions and complex types: More flexible
  4. Leverage type inference: Let TypeScript infer when possible
  5. Create helper types: Build reusable type utilities
  6. Use const assertions: Preserve literal types
  7. Avoid type assertions: Use type guards instead
  8. Document complex types: Add JSDoc comments
  9. Use strict mode: Enable all strict compiler options
  10. Test your types: Use type tests to verify type behavior

Type Testing

// Type assertion tests
type AssertEqual<T, U> = [T] extends [U]
  ? [U] extends [T]
    ? true
    : false
  : false;

type Test1 = AssertEqual<string, string>; // true
type Test2 = AssertEqual<string, number>; // false
type Test3 = AssertEqual<string | number, string>; // false

// Expect error helper
type ExpectError<T extends never> = T;

// Example usage
type ShouldError = ExpectError<AssertEqual<string, number>>;

Common Pitfalls

  1. Over-using any: Defeats the purpose of TypeScript
  2. Ignoring strict null checks: Can lead to runtime errors
  3. Too complex types: Can slow down compilation
  4. Not using discriminated unions: Misses type narrowing opportunities
  5. Forgetting readonly modifiers: Allows unintended mutations
  6. Circular type references: Can cause compiler errors
  7. Not handling edge cases: Like empty arrays or null values

Performance Considerations

  • Avoid deeply nested conditional types
  • Use simple types when possible
  • Cache complex type computations
  • Limit recursion depth in recursive types
  • Use build tools to skip type checking in production
Files (agents)
  • references
    • details.md 8.8 KB
      # typescript-advanced-types — detailed worked examples
      
      ## Advanced Patterns
      
      ### Pattern 1: Type-Safe Event Emitter
      
      ```typescript
      type EventMap = {
        "user:created": { id: string; name: string };
        "user:updated": { id: string };
        "user:deleted": { id: string };
      };
      
      class TypedEventEmitter<T extends Record<string, any>> {
        private listeners: {
          [K in keyof T]?: Array<(data: T[K]) => void>;
        } = {};
      
        on<K extends keyof T>(event: K, callback: (data: T[K]) => void): void {
          if (!this.listeners[event]) {
            this.listeners[event] = [];
          }
          this.listeners[event]!.push(callback);
        }
      
        emit<K extends keyof T>(event: K, data: T[K]): void {
          const callbacks = this.listeners[event];
          if (callbacks) {
            callbacks.forEach((callback) => callback(data));
          }
        }
      }
      
      const emitter = new TypedEventEmitter<EventMap>();
      
      emitter.on("user:created", (data) => {
        console.log(data.id, data.name); // Type-safe!
      });
      
      emitter.emit("user:created", { id: "1", name: "John" });
      // emitter.emit("user:created", { id: "1" });  // Error: missing 'name'
      ```
      
      ### Pattern 2: Type-Safe API Client
      
      ```typescript
      type HTTPMethod = "GET" | "POST" | "PUT" | "DELETE";
      
      type EndpointConfig = {
        "/users": {
          GET: { response: User[] };
          POST: { body: { name: string; email: string }; response: User };
        };
        "/users/:id": {
          GET: { params: { id: string }; response: User };
          PUT: { params: { id: string }; body: Partial<User>; response: User };
          DELETE: { params: { id: string }; response: void };
        };
      };
      
      type ExtractParams<T> = T extends { params: infer P } ? P : never;
      type ExtractBody<T> = T extends { body: infer B } ? B : never;
      type ExtractResponse<T> = T extends { response: infer R } ? R : never;
      
      class APIClient<Config extends Record<string, Record<HTTPMethod, any>>> {
        async request<Path extends keyof Config, Method extends keyof Config[Path]>(
          path: Path,
          method: Method,
          ...[options]: ExtractParams<Config[Path][Method]> extends never
            ? ExtractBody<Config[Path][Method]> extends never
              ? []
              : [{ body: ExtractBody<Config[Path][Method]> }]
            : [
                {
                  params: ExtractParams<Config[Path][Method]>;
                  body?: ExtractBody<Config[Path][Method]>;
                },
              ]
        ): Promise<ExtractResponse<Config[Path][Method]>> {
          // Implementation here
          return {} as any;
        }
      }
      
      const api = new APIClient<EndpointConfig>();
      
      // Type-safe API calls
      const users = await api.request("/users", "GET");
      // Type: User[]
      
      const newUser = await api.request("/users", "POST", {
        body: { name: "John", email: "john@example.com" },
      });
      // Type: User
      
      const user = await api.request("/users/:id", "GET", {
        params: { id: "123" },
      });
      // Type: User
      ```
      
      ### Pattern 3: Builder Pattern with Type Safety
      
      ```typescript
      type BuilderState<T> = {
        [K in keyof T]: T[K] | undefined;
      };
      
      type RequiredKeys<T> = {
        [K in keyof T]-?: {} extends Pick<T, K> ? never : K;
      }[keyof T];
      
      type OptionalKeys<T> = {
        [K in keyof T]-?: {} extends Pick<T, K> ? K : never;
      }[keyof T];
      
      type IsComplete<T, S> =
        RequiredKeys<T> extends keyof S
          ? S[RequiredKeys<T>] extends undefined
            ? false
            : true
          : false;
      
      class Builder<T, S extends BuilderState<T> = {}> {
        private state: S = {} as S;
      
        set<K extends keyof T>(key: K, value: T[K]): Builder<T, S & Record<K, T[K]>> {
          this.state[key] = value;
          return this as any;
        }
      
        build(this: IsComplete<T, S> extends true ? this : never): T {
          return this.state as T;
        }
      }
      
      interface User {
        id: string;
        name: string;
        email: string;
        age?: number;
      }
      
      const builder = new Builder<User>();
      
      const user = builder
        .set("id", "1")
        .set("name", "John")
        .set("email", "john@example.com")
        .build(); // OK: all required fields set
      
      // const incomplete = builder
      //   .set("id", "1")
      //   .build();  // Error: missing required fields
      ```
      
      ### Pattern 4: Deep Readonly/Partial
      
      ```typescript
      type DeepReadonly<T> = {
        readonly [P in keyof T]: T[P] extends object
          ? T[P] extends Function
            ? T[P]
            : DeepReadonly<T[P]>
          : T[P];
      };
      
      type DeepPartial<T> = {
        [P in keyof T]?: T[P] extends object
          ? T[P] extends Array<infer U>
            ? Array<DeepPartial<U>>
            : DeepPartial<T[P]>
          : T[P];
      };
      
      interface Config {
        server: {
          host: string;
          port: number;
          ssl: {
            enabled: boolean;
            cert: string;
          };
        };
        database: {
          url: string;
          pool: {
            min: number;
            max: number;
          };
        };
      }
      
      type ReadonlyConfig = DeepReadonly<Config>;
      // All nested properties are readonly
      
      type PartialConfig = DeepPartial<Config>;
      // All nested properties are optional
      ```
      
      ### Pattern 5: Type-Safe Form Validation
      
      ```typescript
      type ValidationRule<T> = {
        validate: (value: T) => boolean;
        message: string;
      };
      
      type FieldValidation<T> = {
        [K in keyof T]?: ValidationRule<T[K]>[];
      };
      
      type ValidationErrors<T> = {
        [K in keyof T]?: string[];
      };
      
      class FormValidator<T extends Record<string, any>> {
        constructor(private rules: FieldValidation<T>) {}
      
        validate(data: T): ValidationErrors<T> | null {
          const errors: ValidationErrors<T> = {};
          let hasErrors = false;
      
          for (const key in this.rules) {
            const fieldRules = this.rules[key];
            const value = data[key];
      
            if (fieldRules) {
              const fieldErrors: string[] = [];
      
              for (const rule of fieldRules) {
                if (!rule.validate(value)) {
                  fieldErrors.push(rule.message);
                }
              }
      
              if (fieldErrors.length > 0) {
                errors[key] = fieldErrors;
                hasErrors = true;
              }
            }
          }
      
          return hasErrors ? errors : null;
        }
      }
      
      interface LoginForm {
        email: string;
        password: string;
      }
      
      const validator = new FormValidator<LoginForm>({
        email: [
          {
            validate: (v) => v.includes("@"),
            message: "Email must contain @",
          },
          {
            validate: (v) => v.length > 0,
            message: "Email is required",
          },
        ],
        password: [
          {
            validate: (v) => v.length >= 8,
            message: "Password must be at least 8 characters",
          },
        ],
      });
      
      const errors = validator.validate({
        email: "invalid",
        password: "short",
      });
      // Type: { email?: string[]; password?: string[]; } | null
      ```
      
      ### Pattern 6: Discriminated Unions
      
      ```typescript
      type Success<T> = {
        status: "success";
        data: T;
      };
      
      type Error = {
        status: "error";
        error: string;
      };
      
      type Loading = {
        status: "loading";
      };
      
      type AsyncState<T> = Success<T> | Error | Loading;
      
      function handleState<T>(state: AsyncState<T>): void {
        switch (state.status) {
          case "success":
            console.log(state.data); // Type: T
            break;
          case "error":
            console.log(state.error); // Type: string
            break;
          case "loading":
            console.log("Loading...");
            break;
        }
      }
      
      // Type-safe state machine
      type State =
        | { type: "idle" }
        | { type: "fetching"; requestId: string }
        | { type: "success"; data: any }
        | { type: "error"; error: Error };
      
      type Event =
        | { type: "FETCH"; requestId: string }
        | { type: "SUCCESS"; data: any }
        | { type: "ERROR"; error: Error }
        | { type: "RESET" };
      
      function reducer(state: State, event: Event): State {
        switch (state.type) {
          case "idle":
            return event.type === "FETCH"
              ? { type: "fetching", requestId: event.requestId }
              : state;
          case "fetching":
            if (event.type === "SUCCESS") {
              return { type: "success", data: event.data };
            }
            if (event.type === "ERROR") {
              return { type: "error", error: event.error };
            }
            return state;
          case "success":
          case "error":
            return event.type === "RESET" ? { type: "idle" } : state;
        }
      }
      ```
      
      ## Type Inference Techniques
      
      ### 1. Infer Keyword
      
      ```typescript
      // Extract array element type
      type ElementType<T> = T extends (infer U)[] ? U : never;
      
      type NumArray = number[];
      type Num = ElementType<NumArray>; // number
      
      // Extract promise type
      type PromiseType<T> = T extends Promise<infer U> ? U : never;
      
      type AsyncNum = PromiseType<Promise<number>>; // number
      
      // Extract function parameters
      type Parameters<T> = T extends (...args: infer P) => any ? P : never;
      
      function foo(a: string, b: number) {}
      type FooParams = Parameters<typeof foo>; // [string, number]
      ```
      
      ### 2. Type Guards
      
      ```typescript
      function isString(value: unknown): value is string {
        return typeof value === "string";
      }
      
      function isArrayOf<T>(
        value: unknown,
        guard: (item: unknown) => item is T,
      ): value is T[] {
        return Array.isArray(value) && value.every(guard);
      }
      
      const data: unknown = ["a", "b", "c"];
      
      if (isArrayOf(data, isString)) {
        data.forEach((s) => s.toUpperCase()); // Type: string[]
      }
      ```
      
      ### 3. Assertion Functions
      
      ```typescript
      function assertIsString(value: unknown): asserts value is string {
        if (typeof value !== "string") {
          throw new Error("Not a string");
        }
      }
      
      function processValue(value: unknown) {
        assertIsString(value);
        // value is now typed as string
        console.log(value.toUpperCase());
      }
      ```
      
  • SKILL.md 7.8 KB
    ---
    name: typescript-advanced-types
    description: Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.
    ---
    
    # TypeScript Advanced Types
    
    Comprehensive guidance for mastering TypeScript's advanced type system including generics, conditional types, mapped types, template literal types, and utility types for building robust, type-safe applications.
    
    ## When to Use This Skill
    
    - Building type-safe libraries or frameworks
    - Creating reusable generic components
    - Implementing complex type inference logic
    - Designing type-safe API clients
    - Building form validation systems
    - Creating strongly-typed configuration objects
    - Implementing type-safe state management
    - Migrating JavaScript codebases to TypeScript
    
    ## Core Concepts
    
    ### 1. Generics
    
    **Purpose:** Create reusable, type-flexible components while maintaining type safety.
    
    **Basic Generic Function:**
    
    ```typescript
    function identity<T>(value: T): T {
      return value;
    }
    
    const num = identity<number>(42); // Type: number
    const str = identity<string>("hello"); // Type: string
    const auto = identity(true); // Type inferred: boolean
    ```
    
    **Generic Constraints:**
    
    ```typescript
    interface HasLength {
      length: number;
    }
    
    function logLength<T extends HasLength>(item: T): T {
      console.log(item.length);
      return item;
    }
    
    logLength("hello"); // OK: string has length
    logLength([1, 2, 3]); // OK: array has length
    logLength({ length: 10 }); // OK: object has length
    // logLength(42);             // Error: number has no length
    ```
    
    **Multiple Type Parameters:**
    
    ```typescript
    function merge<T, U>(obj1: T, obj2: U): T & U {
      return { ...obj1, ...obj2 };
    }
    
    const merged = merge({ name: "John" }, { age: 30 });
    // Type: { name: string } & { age: number }
    ```
    
    ### 2. Conditional Types
    
    **Purpose:** Create types that depend on conditions, enabling sophisticated type logic.
    
    **Basic Conditional Type:**
    
    ```typescript
    type IsString<T> = T extends string ? true : false;
    
    type A = IsString<string>; // true
    type B = IsString<number>; // false
    ```
    
    **Extracting Return Types:**
    
    ```typescript
    type ReturnType<T> = T extends (...args: any[]) => infer R ? R : never;
    
    function getUser() {
      return { id: 1, name: "John" };
    }
    
    type User = ReturnType<typeof getUser>;
    // Type: { id: number; name: string; }
    ```
    
    **Distributive Conditional Types:**
    
    ```typescript
    type ToArray<T> = T extends any ? T[] : never;
    
    type StrOrNumArray = ToArray<string | number>;
    // Type: string[] | number[]
    ```
    
    **Nested Conditions:**
    
    ```typescript
    type TypeName<T> = T extends string
      ? "string"
      : T extends number
        ? "number"
        : T extends boolean
          ? "boolean"
          : T extends undefined
            ? "undefined"
            : T extends Function
              ? "function"
              : "object";
    
    type T1 = TypeName<string>; // "string"
    type T2 = TypeName<() => void>; // "function"
    ```
    
    ### 3. Mapped Types
    
    **Purpose:** Transform existing types by iterating over their properties.
    
    **Basic Mapped Type:**
    
    ```typescript
    type Readonly<T> = {
      readonly [P in keyof T]: T[P];
    };
    
    interface User {
      id: number;
      name: string;
    }
    
    type ReadonlyUser = Readonly<User>;
    // Type: { readonly id: number; readonly name: string; }
    ```
    
    **Optional Properties:**
    
    ```typescript
    type Partial<T> = {
      [P in keyof T]?: T[P];
    };
    
    type PartialUser = Partial<User>;
    // Type: { id?: number; name?: string; }
    ```
    
    **Key Remapping:**
    
    ```typescript
    type Getters<T> = {
      [K in keyof T as `get${Capitalize<string & K>}`]: () => T[K];
    };
    
    interface Person {
      name: string;
      age: number;
    }
    
    type PersonGetters = Getters<Person>;
    // Type: { getName: () => string; getAge: () => number; }
    ```
    
    **Filtering Properties:**
    
    ```typescript
    type PickByType<T, U> = {
      [K in keyof T as T[K] extends U ? K : never]: T[K];
    };
    
    interface Mixed {
      id: number;
      name: string;
      age: number;
      active: boolean;
    }
    
    type OnlyNumbers = PickByType<Mixed, number>;
    // Type: { id: number; age: number; }
    ```
    
    ### 4. Template Literal Types
    
    **Purpose:** Create string-based types with pattern matching and transformation.
    
    **Basic Template Literal:**
    
    ```typescript
    type EventName = "click" | "focus" | "blur";
    type EventHandler = `on${Capitalize<EventName>}`;
    // Type: "onClick" | "onFocus" | "onBlur"
    ```
    
    **String Manipulation:**
    
    ```typescript
    type UppercaseGreeting = Uppercase<"hello">; // "HELLO"
    type LowercaseGreeting = Lowercase<"HELLO">; // "hello"
    type CapitalizedName = Capitalize<"john">; // "John"
    type UncapitalizedName = Uncapitalize<"John">; // "john"
    ```
    
    **Path Building:**
    
    ```typescript
    type Path<T> = T extends object
      ? {
          [K in keyof T]: K extends string ? `${K}` | `${K}.${Path<T[K]>}` : never;
        }[keyof T]
      : never;
    
    interface Config {
      server: {
        host: string;
        port: number;
      };
      database: {
        url: string;
      };
    }
    
    type ConfigPath = Path<Config>;
    // Type: "server" | "database" | "server.host" | "server.port" | "database.url"
    ```
    
    ### 5. Utility Types
    
    **Built-in Utility Types:**
    
    ```typescript
    // Partial<T> - Make all properties optional
    type PartialUser = Partial<User>;
    
    // Required<T> - Make all properties required
    type RequiredUser = Required<PartialUser>;
    
    // Readonly<T> - Make all properties readonly
    type ReadonlyUser = Readonly<User>;
    
    // Pick<T, K> - Select specific properties
    type UserName = Pick<User, "name" | "email">;
    
    // Omit<T, K> - Remove specific properties
    type UserWithoutPassword = Omit<User, "password">;
    
    // Exclude<T, U> - Exclude types from union
    type T1 = Exclude<"a" | "b" | "c", "a">; // "b" | "c"
    
    // Extract<T, U> - Extract types from union
    type T2 = Extract<"a" | "b" | "c", "a" | "b">; // "a" | "b"
    
    // NonNullable<T> - Exclude null and undefined
    type T3 = NonNullable<string | null | undefined>; // string
    
    // Record<K, T> - Create object type with keys K and values T
    type PageInfo = Record<"home" | "about", { title: string }>;
    ```
    
    ## Detailed worked examples and patterns
    
    Detailed sections (starting with `## Advanced Patterns`) live in `references/details.md`. Read that file when the navigation summary above is insufficient.
    
    ## Best Practices
    
    1. **Use `unknown` over `any`**: Enforce type checking
    2. **Prefer `interface` for object shapes**: Better error messages
    3. **Use `type` for unions and complex types**: More flexible
    4. **Leverage type inference**: Let TypeScript infer when possible
    5. **Create helper types**: Build reusable type utilities
    6. **Use const assertions**: Preserve literal types
    7. **Avoid type assertions**: Use type guards instead
    8. **Document complex types**: Add JSDoc comments
    9. **Use strict mode**: Enable all strict compiler options
    10. **Test your types**: Use type tests to verify type behavior
    
    ## Type Testing
    
    ```typescript
    // Type assertion tests
    type AssertEqual<T, U> = [T] extends [U]
      ? [U] extends [T]
        ? true
        : false
      : false;
    
    type Test1 = AssertEqual<string, string>; // true
    type Test2 = AssertEqual<string, number>; // false
    type Test3 = AssertEqual<string | number, string>; // false
    
    // Expect error helper
    type ExpectError<T extends never> = T;
    
    // Example usage
    type ShouldError = ExpectError<AssertEqual<string, number>>;
    ```
    
    ## Common Pitfalls
    
    1. **Over-using `any`**: Defeats the purpose of TypeScript
    2. **Ignoring strict null checks**: Can lead to runtime errors
    3. **Too complex types**: Can slow down compilation
    4. **Not using discriminated unions**: Misses type narrowing opportunities
    5. **Forgetting readonly modifiers**: Allows unintended mutations
    6. **Circular type references**: Can cause compiler errors
    7. **Not handling edge cases**: Like empty arrays or null values
    
    ## Performance Considerations
    
    - Avoid deeply nested conditional types
    - Use simple types when possible
    - Cache complex type computations
    - Limit recursion depth in recursive types
    - Use build tools to skip type checking in production
    

Comments (0)

Sign in to join the conversation.

No comments yet.

Reviews (0)

No reviews yet.

Related