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AI-driven database engines use historical query traces to train models that dynamically select optimal algorithms, avoiding traditional second-system syndrome.

Impact: Accelerates performance optimization and reduces long-term technical debt in database development.

— from Databricks Unifies AI Agents, Storage, and Security · Latent Space: The AI Engineer Podcast· Jun 24, 2026