When “Clean” Code Makes Systems Harder

We celebrate small functions, strict separation of concerns, and zero duplication. But taken too far, “clean” code shifts complexity sideways instead of removing it. You end up with ten tiny methods spread across five files to understand one business rule. Each piece looks elegant. The workflow does not.

The misconception is that cleaner code always reduces maintenance cost. At a system level, excessive abstraction increases navigation cost, call depth, and mental context switching. Debugging becomes archaeology. You trace execution through layers designed to look pure rather than to be understood end-to-end. New engineers struggle not because the code is messy, but because it’s fragmented.

Senior judgment means optimising for comprehension of behavior, not aesthetic purity. Sometimes a slightly longer function that shows the full flow is easier to own than a perfectly decomposed chain of indirection. Duplication can be cheaper than premature generalisation. Inline clarity can beat theoretical reuse.

Before refactoring for “cleanliness,” ask: does this reduce the total cognitive load of the system, or just improve this file? If understanding the feature now requires opening five tabs instead of one, you didn’t simplify it.

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— Darshit Anjaria