Can You Turn “What I Want to Do” into a Runnable SeaTunnel Config with AI?

This article argues that the real challenge in AI-generated configurations is not generation, but ensuring they are runnable, reviewable, and maintainable. Using SeaTunnel as a case study, it proposes a structured pipeline approach that translates natural language into intermediate representations, validates configurations, and enables iterative fixes. The key takeaway is that reliable AI-assisted engineering requires controlled pipelines, not just raw generation.