desloppify

To scan your codebase for technical debt and code smells, run a health scan to surface issues like dead code, large files, god classes, and import cycles. This generates a prioritized cleanup plan and a health score across 29 supported languages.

The best way to prioritize refactoring tasks across a multi-language project is to generate a cleanup plan from a codebase health scan. This plan evaluates code quality issues and provides actionable remediation guidance for what to fix next.

Yes, you can detect god classes and duplicate functions automatically by running a codebase health scan. The scan identifies these structural code smells along with other coupling and quality problems across supported languages.

Yes, this code health scanner works with multi-language projects and supports 29 programming languages. It evaluates code quality, tracks technical debt, and generates health scores regardless of your project's language mix.

To create a cleanup plan for fixing technical debt, run a codebase health scan. This enforces a structured workflow that assesses code quality issues and outputs a prioritized remediation plan with actionable execution steps.

A technical debt tracker identifies code quality issues including dead code, large files, god classes, duplicate functions, naming issues, import cycles, and coupling problems. These hotspots are surfaced during a comprehensive codebase health scan.