If you think the code is complicated to write, tell me your approach.

When faced with a seemingly complicated code task, I start by clarifying the problem and breaking it into smaller, manageable parts. First, I write a high‑level outline or pseudocode that captures the main steps. This helps me see the overall flow and spot any hidden dependencies. Next, I identify reusable components or functions and decide on appropriate data structures, which often simplifies the logic. I also consider design patterns that fit the problem, such as Strategy for interchangeable algorithms or Observer for event handling. Writing unit tests early (test‑driven development) forces me to think about edge cases and ensures each part works in isolation. I keep the code modular, with clear responsibilities, so that each module can be understood and maintained independently. Finally, I review the code for readability, add comments where necessary, and refactor any duplicated logic. This systematic approach reduces complexity, improves maintainability, and makes the code easier to debug and extend.