freeshard-diagnostics-and-tooling

Type drift detection identifies discrepancies between local data models and the central controller repository to prevent runtime validation failures. It automatically scans your codebase to flag stale data models currently present in the local repository.

Environment validation verifies that configuration overrides (FREESHARD_* variables) are correctly parsed by the application. This prevents silent configuration failures by checking environment variable parsing during development and operational workflows.

Hotspot analysis ranks files by commit churn and fix frequency to highlight high-risk areas of the codebase. This identifies defect hotspots requiring extra scrutiny by analyzing repository-level commit history and fix patterns.

Yes, repository-level diagnostics require the GitHub CLI, Docker, bash, and python3. These standard Unix utilities and container-based inspection tools are necessary to perform environment validation and system performance analysis.

Runtime validation failures often stem from type drift between local data models and the central controller repository. Running type drift detection identifies stale data models in the local repository that cause these discrepancies.

Yes, diagnostic scripts use bash and python3 to measure code debt and system performance within a Docker environment. They apply container-based inspection to quantify repository health metrics and identify performance bottlenecks.