In this lesson, we're going to take a deep dive into an exciting technique — the two-pointer technique. This technique is a crucial skill for enhancing your algorithmic problem-solving abilities, especially when dealing with slices. In this unit, we'll apply this technique to a problem that involves a slice of integers and a target value. Let's get started!

Envision the problem at hand: we've been given a slice of distinct integers and a target value. The task is to find all pairs of integers from the given slice that sum up to the target value using the two-pointer technique. The function FindPairs should take this slice of integers and a target value as parameters. It should return a slice containing pairs of numbers, sorted in ascending order by the first element of each pair. If no pairs satisfy this requirement, the function should return an empty slice.

Consider, for instance, an example in which you're given a slice, numbers := []int{1, 3, 5, 2, 8, -2} and target := 6. In this case, the function should return [][]int{{-2, 8}, {1, 5}} because only these pairs from the input slice of integers add up to the target value.

The naive approach to solving this problem would be to use a pair of nested loops to check each pair of numbers.

This approach would have a time complexity of O(n^2) and a space complexity of O(1). The naive approach can be time-consuming and inefficient, particularly for large slices.