paul-quality

Code quality assessment analyzes maintainability, complexity, test coverage, and naming standards across languages to identify technical debt. It generates evidence-based findings with traceable file references and prioritized remediation recommendations without modifying source code.

Code health reporting translates maintainability and risk assessment findings into prioritized, actionable outputs. It inventories technical debt and provides evidence-based recommendations, enabling teams to communicate code quality status to stakeholders without writing code.

Code quality analysis evaluates maintainability, standards adherence, and complexity across languages. It assesses the entire codebase scope uniformly to produce a comprehensive technical debt inventory and risk assessment regardless of the specific programming languages used.

Technical debt prioritization uses complexity analysis and maintainability assessments to rank issues by risk. It delivers evidence-based findings with traceable file references, allowing teams to target the most critical code quality improvements first.

Code review and complexity analysis strictly evaluates code quality without modifying source code. It generates actionable outputs and prioritized recommendations for remediation, leaving the original codebase untouched while providing traceable file references for evidence.