How can the new AI tools help DBAs? Richard chats with Grant Fritchey about his experiences using various types of LLMs to help with his work as a DBA. Grant discusses having an LLM open as a side window to pass questions by, such as ideas for tuning, query optimization, scripts, and so on. Not all LLMs are the same - it's worth experimenting with different tools! The conversation delves into the long-term picture of AI supporting the DBA role, enabling more work to be accomplished in less time. Some of the work that used to be complex or tedious has become easier, but the need for people to assess outcomes remains essential.Links<ul><li><a href="https://www.postgresql.org/">PostgreSQL</a></li><li><a href="https://www.perplexity.ai/">Perplexity</a></li><li><a href="https://learn.microsoft.com/ssms/copilot/copilot-in-ssms-overview?WT.mc_id=DT-MVP-10953">Copilot for SQL Server Management Studio</a></li><li><a href="https://code.google.com/archive/p/dbverse/">dbverse</a></li><li><a href="https://code.visualstudio.com/docs/copilot/overview">GitHub Copilot in VS Code</a></li></ul>Recorded September 29, 2025

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