This video shows you how to stop your Python code from crashing when APIs, networks, or LLMs fail at random. I walk through the Retry Pattern step-by-step: starting with a flaky example, adding simple retries, improving them with exponential backoff, turning the logic into a clean decorator, and finally adding fallback routes when retrying the same thing no longer makes sense. You’ll also see how retries help when working with LLMs that sometimes return invalid JSON. By the end, you’ll know exactly when to retry, when not to, and how to make your applications far more resilient.