There’s growing interest in using AI agents to build ETL pipelines, generate SQL, automate data transformations, and maintain workflows.

Some engineers report major productivity improvements, while others question whether AI-generated pipelines are reliable enough for production.

I’m interested in what teams are actually experiencing.

Are AI agents reducing development time without increasing debugging and maintenance work? And how are you handling data quality, testing, and accountability when AI generates the pipeline?