Add example of how to leverage OpenAI reasoning models to SDLC for code quality and security checks. #1610
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Summary
This contribution describes how organizations can automate critical code-quality checks—covering security, style, and best practices—by scanning every pull request and posting feedback as well as fixes directly in the PR. By integrating AI-driven insights early in the process, developers can detect potential issues faster, improving reliability and maintainability. The workflow also enforces uniform standards across an organization, ensuring that coding practices remain consistent. Overall, it reduces the manual burden on reviewers and streamlines the process of identifying and addressing code flaws.
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