What are some common pitfalls to avoid when designing a dynamic programming solution?

Common pitfalls in dynamic programming include not recognizing overlapping subproblems, which leads to redundant computations; setting incorrect base cases, which can cause incorrect results; not optimizing space complexity, resulting in excessive memory usage; and not optimizing time complexity, leading to inefficient algorithms. Avoiding these pitfalls ensures efficient and correct dynamic programming solutions.