# SonarQube: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 49 judge labels across 2 categories by 12 of 12 models. Page: https://it-ai-index.com/vendors/sonarqube/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Static application security testing | 22% | 2 | 10% | 48 |
| Software composition analysis | 0% | 46 | 100% | 1 |

## What the models said for it

- "Choose SonarQube if you treat security as a subset of quality, need to reduce technical debt, and want better control over costs at scale." (Qwen 3.7 Flash, SAST)
- "Widely used, supports multiple languages, integrates well with CI/CD... making it a solid choice for mid-sized teams" (Mistral Small, SAST)
- "SonarQube or Snyk Code would be the best starting points. SonarQube offers the best overall value" (MiniMax M2.5, SAST)
- "A popular choice for mid-sized teams, it offers code analysis, security rules, and continuous monitoring" (Llama 4 Maverick, SAST)

## And against it

- "SonarQube: High false positive rates out-of-the-box (40-82% ...) ... Tune heavily or pair with security-specific tools." (Grok 4.1 Fast, SAST)
- "SonarQube on default settings flags 40‑60 % of findings as non‑issues on typical Java or TypeScript codebases" (GLM 4.7 FlashX, SAST)
- "Mature platform, 40+ languages, strong for governance — but noisier out of the box and requires tuning." (DeepSeek V4 Flash, SAST)
- "Developer-first, multi-language coverage, but does not offer reachability analysis." (Mistral Small, SCA)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.