Code Complexity

Code complexity describes how difficult a codebase is to understand, reason about, test, and change safely. It grows through branching logic, deeply nested conditions, hidden state, excessive coupling, unclear abstractions, and interactions spread across many modules.

What complexity measures can and cannot do

Complexity metrics are useful warning signals, not automatic design verdicts. A high score can identify code that deserves review, but domain rules may be inherently complicated and a low score does not guarantee clarity. Combine measurements with code review, defect history, change frequency, and engineering judgment.

Managing complexity

Prefer clear control flow, cohesive modules, explicit boundaries, small independently testable units, and names that reveal intent. Refactoring should reduce the effort required to make future changes rather than optimize a metric in isolation.