Integrating static and dynamic code analysis can significantly enhance software quality by identifying vulnerabilities early, addressing runtime issues, and improving deployment reliability, which is especially crucial given the widespread reliance on software during challenging times like the COVID-19 pandemic. Static code analysis involves examining source code against predefined rules before execution, identifying vulnerabilities and ensuring adherence to coding standards, while dynamic analysis evaluates an application during or after execution to address runtime vulnerabilities. Both methods have distinct advantages and limitations; static analysis excels in identifying issues in unexercised code, whereas dynamic analysis provides insight into production scenarios, making them complementary. Harness supports this integration by combining static and dynamic analysis to strengthen CI/CD pipelines, ensuring code readiness for production and reducing potential production incidents.