Worked on the cqfn/aibolit repository to automate security validation and improve code quality within the development workflow. Developed and integrated Bandit-based security checks using Python and YAML, enabling early detection of vulnerabilities and reducing manual review requirements. Established continuous integration pipelines and linting configurations to enforce consistent code standards and streamline contributions. The approach focused on embedding security analysis directly into the CI process, ensuring that each code change is automatically scanned for potential issues. This work enhanced the reliability of the project’s security posture while optimizing development cycle times through process automation and robust DevOps practices. No bugs were reported.