In this Skills 101 session, Denis introduces the new AI Insights module in Toad (for SQL Server, Data Studio, Datapoint, and Oracle), showing how AI is being embedded directly into the developer workflow.
The demo walks through how AI can explain SQL code in plain English, detect and fix errors, validate syntax, optimize performance, and even recommend indexes—all without leaving the IDE. A real-world example demonstrates transforming a problematic legacy query into a production-ready one in minutes using conversational prompts.
The session also explores:
• AI Educate for learning Toad features,
• AI Ask (Datapoint) for natural-language data querying,
• and AI Code (with GitHub Copilot) for generating SQL objects using simple prompts.
Overall, the key message: AI doesn’t replace database professionals—it augments them, helping teams work faster across multiple platforms, reduce risk, and close expertise gaps.
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