codebase-auditor

A codebase audit identifies architectural weaknesses, domain modeling gaps, and quality issues by evaluating modularity, testing, security, and performance. It applies DDD principles to provide actionable recommendations for improving system design and maintainability.

A DDD-based code review evaluates domain models and architecture against Domain-Driven Design principles. You need it when aligning codebases with good architectural practices to avoid common design pitfalls and improve system governance.

Yes, you can audit repositories of varying sizes and languages. The audit evaluates visible code and artifacts to provide holistic recommendations for architecture, domain models, and data design regardless of the underlying tech stack.

To get actionable recommendations for improving codebase quality, you perform a structured audit focusing on architecture, domain models, and data design. The audit enforces evaluation criteria aligned with modularity, testing, security, and performance.

Yes, the codebase audit checks for security and performance invariants. It enforces evaluation criteria across architecture, domain modeling, modularity, testing, security, and performance to identify systemic quality issues.

The audit's limitations depend on the visible code and artifacts provided in the repository. Recommendations for design, governance, and maintainability are based solely on the visible codebase, so hidden external dependencies may not be fully evaluated.