Component Usage Analytics

To find component usage across a codebase, you can run an analysis script that parses files and aggregates all instances. This reports every file and feature where the component appears, giving you a complete usage map.

Component deprecation planning works best when guided by usage data that assesses migration impact. You can generate a migration guide from usage analysis to plan phased removals and track the transition from old to new component versions.

Yes, you can detect unused components by running a dedicated analysis command that scans the codebase. It identifies components with little to no production usage, helping you safely target them for removal.

Component adoption tracking monitors how quickly new components are used across files and features. By analyzing usage reports over time, you can measure the adoption rate and ensure teams are migrating to the desired versions.

No external dependencies are required to analyze codebase component usage. The skill operates independently using internal scripts and references to parse your codebase and generate usage reports.

Usage analysis for deprecation planning is limited by the accuracy of codebase parsing and aggregation. It may miss dynamically imported components or fail to reflect runtime usage, so reports should be verified before final removal.