TLDR Tech / Data
How Airflow is using AI to make data engineering more resilient, not more complex
Apache Airflow is adding three AI-driven controls to reduce pipeline firefighting: semantic schema validation, persistent state for reconnecting failed jobs, and LLM-based retry decisions. Together, they catch schema drift, preserve external job IDs, and classify failures as retry, delay, or escalate.
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