cognitive-review

To evaluate cognitive load during a code review, you audit function length, nesting depth, boolean logic, and parameter count to identify readability hotspots. This generates a structured report with concrete refactor guidance to reduce future maintainers' cognitive costs.

The best way to refactor long functions and deep nesting is by applying early returns, flattening call hierarchies, and breaking down complex conditionals. Structural analysis enforces criteria for function length and nesting depth to provide actionable decomposition strategies.

Checking code readability and naming quality across languages involves scanning for unclear abbreviations and tracking variable state complexity. The audit evaluates whether names are self-explanatory and provides suggestions to improve clarity regardless of the programming language.

Yes, you can assess boolean logic complexity and parameter count automatically by enforcing specific criteria thresholds. The review process identifies complex conditionals and suggests using parameter objects or breaking down functions to lower the overall cognitive burden.

You should use a cognitive code review instead of a standard quality assessment when your goal is to minimize future maintainers' cognitive costs rather than just finding surface errors. It systematically tracks variable states, call hierarchies, and branch complexity to output actionable refactoring reports.