desloppify

Automate technical debt assessment by running a phase-driven workflow that scans your repository to identify dead code, large files, god classes, and import cycles. This generates measurable health scores and a prioritized cleanup plan to improve maintainability.

Detect import cycles and dead code in a multilingual project by initiating a codebase health scan. The scan identifies common debt issues across many languages and architectures, then guides remediation through a structured review, plan, and execute cycle.

The best way to generate a prioritized cleanup plan for legacy code is to run an automated health scan that calculates health scores and surfaces technical debt. This deterministic workflow turns code quality concerns into measurable, actionable fixes on demand.

Automated code refactoring works across multiple programming languages and architectures to identify complex classes, duplicate functions, and import cycles. It applies to large multilingual repositories, enabling consistent health scores and cleanup planning.

The typical workflow for managing technical debt involves a deterministic cycle of scan, status, review, plan, and next commands. This phase-driven approach surfaces debt issues, generates health scores, and supports executing fixes through a dedicated toolchain.

You can execute automatic refactoring and fixes directly through the desloppify toolchain after generating a cleanup plan. The workflow supports executing fixes on demand once the initial scan, review, and planning phases are complete.