AI is particularly effective for translating CI/CD knowledge across platforms, for example from Jenkins to GitHub Actions. The engineer contributes architectural intent and evaluation capability; AI contributes platform-specific syntax and implementation speed. This works because the engineer can recognize when the output is wrong, which is the essential condition for AI-assisted development to produce reliable results rather than only plausible-looking ones.