quality-metrics

You can track code quality over time by automating the collection of metrics like TypeScript errors, lint issues, and test results into periodic snapshots, then generating dashboards and trend reports to visualize progress and surface regressions.

Automated code quality snapshot collection periodically captures TypeScript, lint, test, and build metrics, scores them, and stores them as versioned JSON files in a docs directory to enable historical trend analysis without manual monitoring effort.

To generate a code quality trend dashboard, run the collection process to capture a snapshot of your current metrics; the system then outputs visual dashboards that highlight improvements, declines, and regression alerts across snapshots.

Yes, you can track TypeScript errors and lint issues across releases by comparing periodic snapshots, allowing your team to surface quality gaps and monitor code health between different development periods.

No specific testing frameworks are required as dependencies; the system works by collecting existing build status and test results from your software project and storing them using a strict JSON schema for non-destructive versioning.

The system focuses on per-metric scoring for TypeScript, lint, tests, build, and completeness, storing snapshots locally in a docs directory; it does not integrate with external databases or CI platforms without additional setup.