Code reviews for AI code

SonarQube’s AI code review provides in-depth security analysis and immediate alerts for potential vulnerabilities, ensuring that AI-generated code upholds strict organizational security and coding standards. Automated checks evaluate code smells, complexity, and duplication, helping developers catch quality issues before code is merged and deployed.

By proactively identifying compliance gaps—including those relating to standards such as PCI, OWASP, CWE, STIG, and CASA—SonarQube facilitates the remediation of quality and security issues in real time. This approach fosters an environment where issues are addressed swiftly, maintaining a consistently high level of code quality throughout your projects.

AI Code Assurance is a workflow in SonarQube Server and SonarQube Cloud designed to address the unique quality and security risks introduced by AI-generated code. It provides rigorous security and quality standards for organizations to validate AI contributions before they reach production.

This helps teams enforce standards and maintain code quality across their entire development lifecycle, even as the proportion of AI-generated code increases.

SonarQube is designed to find code issues—including those in AI-generated code—that do not meet widely accepted compliance and security standards such as PCI, OWASP, CWE, STIG, and CASA. This ensures that your codebase remains safe and conformant in regulated industries where strict compliance is required.

Advanced security analysis, including SAST (Static Application Security Testing) and taint analysis, detects vulnerabilities and potential risks, giving teams confidence that their code is both secure and of high quality. Automated compliance reporting further simplifies proof of code compliance for audits and regulatory checks.

SonarQube integrates seamlessly across the entire development lifecycle by embedding code intelligence into IDEs, CI/CD pipelines, and also directly into AI agentic workflows via the SonarQube MCP Server. By supporting major platforms like GitHub, GitLab, and Jenkins alongside popular editors, it provides developers with instant feedback while ensuring that automated quality checks remain a core component of everyday activities. The addition of the SonarQube MCP Server further optimizes this workflow by allowing AI assistants like Cursor and Claude Code to query Sonar’s analysis engine in real-time using the Model Context Protocol. This integration ensures that AI-generated code is reviewed and refined during the generation process—long before it reaches a pull request—while synchronized Quality Gates across the SDLC help organizations maintain high-quality, secure code delivery at scale.

SonarQube offers SonarQube Server for self-managed environments, SonarQube Cloud for SaaS-based code inspection, and SonarQube for IDE as a free plugin for real-time code feedback. For organizations embracing AI-native development, the SonarQube MCP Server acts as a specialized bridge that allows AI assistants like Cursor, Claude Code, and GitHub Copilot to interact directly with Sonar’s analysis engine. These products support unlimited users and unlimited projects, making them suitable for teams and organizations with substantial code review needs.

SonarQube’s flexible licensing and unlimited scanning capacity mean that both small development teams and large enterprises can benefit from continuous quality and security analysis of their AI-generated code, without worrying about user or project limits.

SonarQube’s static analysis engine is constantly refined to detect and address the most elusive and complex code issues within both human and AI-generated code. Automated checks for code smells, duplication, and complexity ensure maintainability and quality even as codebases grow in size and diversity.

Unlimited scan capability and project support allow organizations to continuously monitor the health of their most critical repositories. Comprehensive visibility into all detected issues helps developers manage and sustain high-quality code standards across multiple projects simultaneously.

SonarQube for IDE provides automated feedback as developers write code and is available for popular IDEs such as Visual Studio, VS Code, JetBrains, and Eclipse. SonarQube supports static analysis for more than 35 programming languages and frameworks, making it a versatile solution for diverse development environments.

This wide compatibility ensures that organizations can maintain quality code regardless of the application's technology stack, helping teams adopt best practices and address code quality at every stage of development.

SonarQube enables organizations to scan AI-generated code as often as needed with no limitations, providing continuous analysis and real-time alerts for code quality issues. By automatically flagging security vulnerabilities and maintainability problems, teams are empowered to address issues immediately and reduce technical debt.

Continuous code review not only improves code reliability but also fosters a culture of excellence and accountability. Developers are encouraged to take ownership of code quality, knowing their contributions are being validated against consistent standards as part of an automated, developer-first workflow.

SonarQube’s solutions combine powerful static analysis, deep security checks, compliance validation, and unlimited scalability for users, projects, and scans. Their developer-first philosophy places actionable insights directly into the hands of coders, creating a streamlined process that supports both productivity and the delivery of quality code.

Backed by industry recognition and proven integrations with leading development tools, SonarQube helps organizations confidently adopt AI-generated and AI-assisted code while maintaining high standards. This makes SonarQube a trusted partner for teams committed to producing secure, reliable, and compliant code with every release.