Generators rely on the iterator and iterable protocols, both dealing with producing an indeterminate sequence of values. The iterator protocol standardizes the shape and behavior of an object that returns a sequence, requiring a `next()` method returning an object with `value` and `done` properties. The iterable protocol builds upon this, defining an object with a `[Symbol.iterator]()` method that returns an iterator object, enabling the use of `for...of` loops and destructuring.

Lazy evaluation is a key benefit of iterables. Values are computed on demand, preventing performance issues by avoiding upfront processing of large datasets. This is especially useful when not all items in a sequence are needed, as it avoids unnecessary computation.

Generator functions, marked by `function*` and the `yield` keyword, simplify the creation of iterables. The `yield` keyword pauses execution, returning a value each time the `next()` method is called. Generators can also be infinite, with execution pausing between iterations, preventing browser lock-ups.

Generators can reduce tight coupling by encapsulating state management, making components more independent and portable. They also help avoid practices like recursion and callbacks, particularly with asynchronous generators, which allow for cleaner code and separation of concerns.

Generators streamline paginated API requests by processing items as each page is requested, reducing memory usage and improving timing. This approach avoids the need for auxiliary variables and list stitching.