Hard Leetcode problems can often be approached more easily using constraint solvers rather than traditional algorithms. The author illustrates this by providing examples of common interview questions that can be efficiently solved with constraint programming languages like MiniZinc, highlighting the advantages of using solvers for complex optimization problems. By framing these problems as constraint satisfaction issues, one can bypass the intricacies of algorithm design while still achieving effective solutions.