Security & Quality

SonarQube Code Quality

Run continuous code quality and security analysis to catch bugs, code smells, and vulnerabilities before they reach production.

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Overview

SonarQube performs deep static analysis of your codebase to detect bugs, code smells, security vulnerabilities, and technical debt. It tracks code quality metrics over time, giving teams visibility into their codebase health and enforcing quality gates that prevent problematic code from reaching production.

AI agents can run SonarQube analyses and interpret the results in context. When the scanner identifies a code smell or potential bug, the agent can understand the issue, explain why it matters, and implement the fix, all in one step. This turns SonarQube from a reporting tool into an active code improvement tool.

The combination is particularly powerful for maintaining code quality at scale. Instead of reviewing SonarQube dashboards and manually fixing issues, your AI agent can prioritize the most critical findings, batch-fix similar issues across the codebase, and ensure new code passes quality gates before being committed.

Who Is This For?

Teams enforcing code quality gates in their CI/CD pipelines
Developers fixing code smells and bugs identified by static analysis
Tech leads reducing technical debt with AI-assisted remediation
Security engineers identifying and fixing OWASP vulnerabilities in code

Installation

Setup for Claude Code

docker run -d --name sonarqube -p 9000:9000 sonarqube:lts
npm install --save-dev sonarqube-scanner
Claude Code runs: npx sonar-scanner

Configuration

// sonar-project.properties
sonar.projectKey=my-project
sonar.sources=src
sonar.tests=tests
sonar.javascript.lcov.reportPaths=coverage/lcov.info
sonar.host.url=http://localhost:9000
sonar.token=sqp_xxxxxxxxxxxxxxxxxxxx

Visit Source (SonarSource)

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