code-complexity-audit

To audit code design quality, you run an analysis across your repository to surface architectural hotspots and debt. This process evaluates 13 dimensions across core design, structural, and surface areas to produce a Design Health Report.

Git-informed sampling is a mechanism that uses repository history to select files for a code health check. It prioritizes core modules and high-risk areas to ensure the architecture assessment scales efficiently across large codebases.

Yes, you can perform an architecture assessment across various languages and project sizes. The audit applies to code reviews and health checks universally, evaluating design quality dimensions without being limited to a specific platform.

You can attribute technical debt findings to specific authors using git attribution during the design quality audit. This feature identifies file ownership and provides a clear path for remediation of the severity-labeled findings.

The best way to evaluate core design principles is to apply a multi-dimension analysis aligned with John Ousterhout's design principles. This method classifies findings by severity to help teams target improvements to architecture and maintainability.