JS FunctionSeniorHard#622 · 35mFinance specialization

Run a 35-minute coding + narration mock

Implement a state reducer, amount parser, or merge function while explaining tradeoffs and tests.

Answer Strategy

For run a 35-minute coding + narration mock, start by stating the public contract before writing code: argument shape, return shape, mutation rules, error behavior, and whether work is synchronous, timed, cached, or cancellable.

A senior solution uses boring names for hidden state. If the function stores a timer, cache entry, listener, or in-flight promise, say who owns that state and how it is cleaned up.

After the baseline passes, harden the edge cases: empty input, repeated calls, invalid values, thrown callbacks, stable ordering, and memory lifetime. The reference below is written to be narrated line by line.

Reference Implementation: Memoize With TTL

This pattern covers the common interview utility shape: a small public API, private closure state, and tests for repeated calls.

type CacheEntry<T> = {
  value: T;
  expiresAt: number;
};

function memoizeWithTtl<TArgs extends unknown[], TResult>(
  fn: (...args: TArgs) => TResult,
  ttlMs: number,
  keyOf: (...args: TArgs) => string = (...args) => JSON.stringify(args)
) {
  const cache = new Map<string, CacheEntry<TResult>>();

  return (...args: TArgs): TResult => {
    const key = keyOf(...args);
    const cached = cache.get(key);
    const now = Date.now();

    if (cached && cached.expiresAt > now) return cached.value;

    const value = fn(...args);
    cache.set(key, { value, expiresAt: now + ttlMs });
    return value;
  };
}

Runnable Playground

Edit the implementation and run the tests directly in the browser. For system design questions, the playground focuses on the core state/data logic that the UI would call.


type CacheEntry<T> = {
  value: T;
  expiresAt: number;
};

function memoizeWithTtl<TArgs extends unknown[], TResult>(
  fn: (...args: TArgs) => TResult,
  ttlMs: number,
  keyOf: (...args: TArgs) => string = (...args) => JSON.stringify(args)
) {
  const cache = new Map<string, CacheEntry<TResult>>();

  return (...args: TArgs): TResult => {
    const key = keyOf(...args);
    const cached = cache.get(key);
    const now = Date.now();

    if (cached && cached.expiresAt > now) return cached.value;

    const value = fn(...args);
    cache.set(key, { value, expiresAt: now + ttlMs });
    return value;
  };
}

TypeScript · runnable

Testing Strategy

Convert the answer into observable behavior. In a mid-senior interview, say which behaviors are covered by unit tests, interaction tests, accessibility checks, and one browser smoke path.

Contract

Test the public signature and return value first, including whether the utility mutates input or stores closure state.

Edges

Add empty input, repeated calls, duplicate values, thrown callbacks, and cleanup or cancellation cases.

Timing

Use fake timers for timer utilities and controlled promises for async utilities so behavior is deterministic.

test('utility caches repeated calls by contract key', () => {
  let calls = 0;
  const add = memoizeWithTtl((a: number, b: number) => {
    calls += 1;
    return a + b;
  }, 1000);

  expect(add(1, 2)).toBe(3);
  expect(add(1, 2)).toBe(3);
  expect(calls).toBe(1);
});

Interviewer Signal

Interviewers are listening for judgment while you code.

Constraints

Keep local, backend, wallet, chain, and user-visible state distinct.
Name the product risk before naming the component.
Tie the answer back to testing or rollout safety.

Model Answer Shape

Implement a state reducer, amount parser, or merge function while explaining tradeoffs and tests.
Use explicit ownership boundaries for state, data, and user intent.
Describe how the UI prevents misleading certainty during pending or failed operations.

Tradeoffs

Finance-grade UI should be conservative about certainty and optimistic about continuity.
Local state improves recovery but must not pretend to be canonical business truth.

Edge Cases

Refresh during pending work.
Duplicate user intent.
Backend, wallet, and chain disagree temporarily.

Testing And Proof

State transition test.
Reload recovery scenario.
Accessible status and copy review.

Follow-Ups

What would you log for support?
How would you roll this out behind a flag?

Deep Finance Practice

This item has an authored finance specialization page with the original prompt, solution, and any available runnable harness.

Open legacy practice #622 ->