audit-codebase

To audit codebase health, you score seven categories including Secrets, Security, Dependencies, Structure, Tests, Imports, and AI Patterns on a 1-10 scale. This process uses static analysis results and dependency manifests to produce a prioritized progression plan with actionable findings.

A codebase health assessment evaluates seven categories: Secrets, Security, Dependencies, Structure, Tests, Imports, and AI Patterns. Each category receives a 1-10 score to surface actionable findings and identify weak spots across the full project.

Yes, you can run a codebase audit on full-project codebases of any programming language. The assessment is suitable for quick evaluations or in-depth reviews of medium-sized monorepos to identify critical gaps and estimate remediation effort.

To perform an automated codebase audit, you need static analysis results and dependency manifests. Optional test and coverage reports can also be provided to generate accurate health scores and actionable recommendations across the seven categories.

The best way to prioritize remediation is to generate a prioritized progression plan from a seven-category health audit. This plan provides concrete next steps and owner suggestions to align stakeholders on a roadmap for improving codebase health.

Codebase health drifts over time as development progresses, causing teams to lose sight of weak spots. A structured, repeatable seven-category health audit tracks these gaps by scoring Secrets, Security, Dependencies, Structure, Tests, Imports, and AI Patterns.