A function that receives another function as an argument or that returns a new function or both is called a Higher-order function. Higher-order functions are only possible because of the First-class function.
.map, .reduce, .filter, .addEventListener
Abstraction: They allow you to focus on what to do (e.g., Filter this list) rather than how to do it (e.g., Create a for-loop, check a condition, push to a new array).
DRY (Don't Repeat Yourself): You can write the core logic once (like the repeat function above) and change the behavior by passing different callbacks.
Composition: You can chain them together to create complex data pipelines.
Analogy: Think of a Higher-Order Function like a Power Tool. The tool itself (the HOF) knows how to spin or vibrate, but it's the Attachment (the callback) you plug into it that determines if it’s a drill, a saw, or a sander.
We have an array of numbers and need to double each value. How would you use a higher‑order function to implement this?
Write a function that takes another function as an argument, calls it, and logs its return value.
If you use Array.map with a callback that returns undefined, what will the resulting array contain?
Our data‑processing pipeline uses .filter and .map, but after adding a new filter the results are wrong. How would you debug the higher‑order functions involved?
Design a debounce utility that accepts a function and returns a throttled version. Explain your approach and any trade‑offs.
Why might wrapping a recursive async function in a higher‑order error‑handler cause a stack overflow, and how would you fix it?
Design a middleware system for an Express‑like server where each middleware is a higher‑order function. How will you guarantee ordering, error propagation, and performance at scale?
Our logging library lets users provide formatter functions, but we’re seeing a memory leak due to large closures. How would you identify and resolve the issue?
Discuss the trade‑offs of using higher‑order functions versus class‑based strategies for extensibility in a large codebase.
We need to migrate a legacy codebase that heavily uses callbacks to a functional style with higher‑order functions. What architectural plan would you propose to minimize risk and disruption?
Across several teams you want a standardized plugin architecture based on higher‑order functions. How would you design the API to balance flexibility, type safety, and backward compatibility?
How would you evaluate the impact of introducing a higher‑order function‑based event bus on system latency, observability, and operational overhead?