operator-heaviness-score

Operator surface area is measured by quantifying the operator load across six key performance indicators, including discoverability, recovery, and configuration burden. This evaluation maintains a constant driving effort as the repository expands.

Technical debt in CLI design includes critical steering defects like missing documentation links or broken appeal channels. Hard debt is identified by evaluating dispatch tables and flag sets to enforce strict consolidation standards for surface optimization.

Real consolidation guides you through genuine surface slimming techniques like grouping verbs or graduating flags. This approach reduces navigation friction and cognitive load while preserving the actual capabilities of the codebase.

Yes, an operator heaviness scorecard tracks documentation coverage and configuration burden alongside discoverability and recovery metrics. It provides a repeatable scorecard to maintain consistent steering effort and identify areas requiring immediate consolidation.

Navigation bloat increases driving effort because the operator-facing surface area expands with every new feature. Evaluating dispatch tables and flag sets ensures the effort required to discover and recover the operator surface remains constant.

The best way to enforce consolidation standards is by running a repeatable scorecard that quantifies operator load and identifies hard debt. This ensures the operator surface remains flat as the Fused Agent Kernel grows.