Small AI database questions can become big scans
AI agents can inadvertently generate massive database scans from simple queries, potentially overwhelming production systems. To mitigate this, developers should implement strict row limits, prioritize aggregation over raw data retrieval, and provide clear metadata about data availability. Implementing features like preview limits, page cursors, and detailed audit logs can help manage and monitor AI-driven database interactions. AI
IMPACT Developers need to implement safeguards for AI agents interacting with databases to prevent performance issues and ensure data security.