X @Avi Chawla

Code Quality & AI Integration - SonarQube MCP server detects production-grade code quality issues in real-time [1] - AI code generation shifts engineering bottleneck to code review, developers spend 90% of debugging time on AI-generated code [1] - AI reviewers share blind spots with AI generators, lacking proof checking, system behavior validation, and consequence review [1][3] - SonarQube addresses limitations of AI code review by providing enterprise-grade code analysis and instant feedback [1] SonarQube Capabilities - SonarQube processes over 750 billion lines of code daily, identifying various bug patterns [2] - It identifies security vulnerabilities like SQL injection, XSS, and hardcoded secrets [4] - It detects code smells, technical debt, and maintainability issues [4] - It identifies test coverage gaps [4] Implementation - SonarQube MCP server installation is simple and can be added to AI assistant's config [4] - GitHub repository is available [4]