flowai-maintenance

To automate a codebase maintenance audit, use a 7-point sweep that scans source directories, config files, and documents to surface technical debt, documentation gaps, dead code, and structural deviations. It then writes a timestamped, actionable report for stakeholders.

A 7-point project health audit covers structure, consistency, hygiene, debt, terminology, and documentation coverage. It scans multi-repo projects and large codebases to surface structural issues, complexity hotspots, and dead code, producing a ready-to-use maintenance report.

Yes, this maintenance audit specifically targets multi-repo projects and large codebases. It scans documents, source directories, and config files across the repositories to surface risks and ensure the codebase remains aligned with quality standards.

You generate a traceable maintenance report by running the audit, which automatically writes findings to the documents/whiteboards directory with a timestamped filename. This ensures historical traceability and helps engineering leads monitor code quality progress over time.

The best way to find dead code and structural deviations is to run an automated static analysis sweep across source directories and config files. This surfaces hygiene issues and structural risks, saving actionable findings to a timestamped report for stakeholders.

Yes, you can monitor code quality and tech debt over time by running the automated 7-point audit. It enforces timestamped outputs to documents/whiteboards, creating a historical record of structural issues and technical debt for ongoing progress tracking.