LegacyRx: a refactor-prioritization dashboard for maintainers
Connect LegacyRx to a repo and get a ranked TODO of the ten refactors most likely to pay for themselves in reduced incident risk, faster onboarding, or AI-coding-tool accuracy.
Engineering leads and staff engineers maintaining non-greenfield systems
- AI-coding-suitability score per module ('this is well-structured enough for an AI agent to safely modify')
- Incident-prediction overlap with code-complexity hotspots
- Refactor-vs-rebuild costed ROI estimator tied to your incident history
- Weekly digest of the highest-leverage PR opportunities for the team
Visual + governance tools (DevSwat) are arriving just as AI coding agents need clean, well-mapped modules—maintainers now have a budget case for the cleanup they've been deferring.
Stripe research cited across multiple sources shows devs spend ~33% of time on tech debt; McKinsey estimates 20-40% productivity gain from systematic debt reduction — multiple 2025 frameworks actively published for prioritization.The Top Technical Debt Management Tools 2025 | Zenhub Blog ↗Technical Debt Prioritization: The Framework CTOs Actually Use ↗
Crowded mature market — SonarQube, CodeScene, Stepsize, vFunction, Moderne, CAST Highlight, Codacy, Qodana, SIG Sigrid and Zenhub all compete; Zenhub explicitly lists 'prioritization capabilities' as a core feature and Sonar already does maintainability/debt scoring. DevSwat itself launched Feb 2026 with very low traction (1-3 upvotes).SonarQube vs CAST vs CodeScene vs vFunction vs Moderne ↗The Top Technical Debt Management Tools 2025 | Zenhub Blog ↗
Clear willingness to pay: SonarQube Developer Edition starts at $150/year/user, Zenhub Team at $8.33/user/month, Stepsize has paid tiers — engineering tooling budgets are established and per-seat SaaS works in this category.Plans & Pricing: AI Code Verification at Scale | Sonar ↗Pricing | Stepsize AI ↗
Technical-debt concept dates to Ward Cunningham 1992; problem compounds with codebase age and is now amplified by AI-generated code that needs clean modules to work accurately — a durable, multi-decade category with a fresh tailwind.The Top Technical Debt Management Tools 2025 | Zenhub Blog ↗
Buildable with established AST/static-analysis techniques and standard GitHub/GitLab integrations; multiple competitors prove the core detection is tractable, but meaningful prioritization scoring (incident-risk, onboarding, AI-tool accuracy ROI) is non-trivial and requires domain heuristics + telemetry.The Top Technical Debt Management Tools 2025 | Zenhub Blog ↗