A function that receives another function as an argument or that returns a new function or both is called Higher-order function. Higher-order functions are only possible because of the First-class function. This concept is widely used in functional programming.
Map, reduce, filter
forEach
Sort, find, some and every
We need to filter an array of user objects by age. How would you write a higher‑order function to reuse the filtering logic for different criteria?
If you pass a function that mutates its argument into a higher‑order utility like map, what could go wrong and why?
Our team added a generic retry wrapper that takes an async function and retries on failure. It started causing memory leaks. Walk me through how you would debug the higher‑order function to find the issue.
You have a data‑processing pipeline built with compose() of several higher‑order functions. A new requirement adds a conditional step only for premium users. How would you modify the pipeline without breaking existing behavior?
We are building a server‑side rendering framework that lets developers inject custom render hooks via higher‑order functions. What design considerations would you raise around performance and stack traces?
Our logging library uses a higher‑order function to wrap any handler with request tracing. At scale, we see increased latency. How would you evaluate and optimise the higher‑order wrapper?
A legacy monolith mixes callbacks and promises throughout. You need to migrate to a functional style using higher‑order utilities across multiple teams. How would you plan the migration to minimise risk and maintainability concerns?
When designing a cross‑service SDK, you want to expose composable higher‑order functions for authentication, caching, and retries. What architectural guidelines would you set to ensure consistency and future extensibility?