The tough task of making AI code production-ready

Second, integrate quality checks into your pipeline. Static analysis, linting, and security scanning should be non-negotiable parts of continuous integration whenever AI code is introduced. Many continuous integration/continuous delivery (CI/CD) tools (Jenkins, GitHub Actions, GitLab CI, etc.) can run suites like SonarQube, ESLint, Bandit, or Snyk on each commit. Enable those checks for all code, especially AI-generated snippets, to catch bugs early. As Sonar’s motto suggests, ensure…