Where SonarQube wins
If you want continuous code-quality gates across a large, multi-language codebase, SonarQube is a proven default. Its bug, code-smell, and coverage rules are deep, it plugs into most CI systems, and it gives large teams a shared quality bar. For maintainability at scale, it is hard to beat.
Where Prbl is different
SonarQube was tuned for code humans write. AI-generated code fails in a narrow, repeatable set of ways: hardcoded credentials in scaffolded files, missing authentication on generated CRUD routes, fallback secrets in environment lookups, and Broken Object Level Authorization on endpoints an assistant produced in seconds. Prbl prioritizes exactly those classes, and it keeps false positives low so the findings that surface are worth acting on rather than tuning away.
Run both
These are not competing tools. SonarQube holds your quality and maintainability line; Prbl watches the narrower question of whether an AI tool just shipped something dangerous. Teams leaning on Cursor, Copilot, or Claude Code get more signal running Prbl alongside SonarQube than from either alone.
Frequently asked questions
Is Prbl a SonarQube replacement?
No. SonarQube is a mature code-quality and static-analysis platform with rules across dozens of languages, built for continuous quality gates at scale. Prbl answers a narrower question SonarQube wasn't built to ask: did an AI tool write this, and does it carry the gaps AI tools leave behind.
Does Prbl check code quality the way SonarQube does?
No. Prbl isn't focused on bugs, code smells, or test coverage. It prioritizes the specific vulnerability classes AI coding tools produce: hardcoded credentials, missing auth on generated routes, fallback secrets, and BOLA.
Why add Prbl if I already run SonarQube?
SonarQube holds your quality and maintainability line across a large codebase. Prbl watches the narrower, AI-specific question, tuned to keep false positives under 10 percent so what surfaces is worth acting on.