One of the unexpected benefits of coding with AI generation is how it naturally pushes you toward writing modular software. When you describe what you want clearly enough for an AI to generate it, you start breaking your ideas into smaller, more independent parts. Each piece has a clear purpose and boundary — just enough context to stand on its own.

As a result, my GitHub repos have become cleaner and leaner. There’s no half-finished idea in a corner, no unneeded scaffolding, no “maybe I’ll use this later” utilities. Each repository does one thing, and it does it well. The code reads more like a set of purposeful tools than a workshop full of scraps.

AI generation forces clarity — if you can’t describe a function or module precisely, it won’t generate what you want. That discipline carries over to the code itself. The outcome is concise, readable, and free of clutter. Clean code, in the truest sense, is not about clever tricks or perfect architecture — it’s about removing everything that doesn’t need to be there.