In competitive programming, time limits are a common challenge, especially for large input sizes. To handle these limits, you need to ensure that your algorithm has an efficient time complexity. For example, instead of using O(n^2) algorithms, look for O(n log n) or O(n) solutions where possible. Understanding the constraints of the problem and selecting the right algorithm is crucial. Also, using faster input/output methods (like `scanf` and `printf` in C++ or `sys.stdin.read` in Python) can help save time on large input and output operations. Time complexity analysis and optimized I/O are essential for meeting strict time limits.