How We’re Teaching AI to Think Like a Database Engineer

Jacky from Tiger Data interviews founding principal engineer Mat about the launch of Prompt Templates, a new way to give AI agents structured, production-tested context for database design and configuration. They discuss how these templates differ from traditional documentation by offering opinionated, end-to-end “guides” that help LLMs produce better, more reliable results. Jacky and Mat also discuss how developers can use these templates through Tiger Data’s open-source MCP server and what this means for the future of AI-driven engineering. 🛠 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 📌 Sign up to try for FREE ⇒ https://tsdb.co/td-yt 📌 Prompt Templates Blog Post ⇒ https://www.tigerdata.com/blog/free-postgres-mcp-prompt-templates 📌 Tiger Data MCP Github ⇒ https://github.com/timescale/tiger-docs-mcp-server 📌 Agentic Postgres Free Plan Blog Post ⇒ https://www.tigerdata.com/blog/introducing-agentic-postgres-free-plan-experiment-ai-on-postgres 💻 𝗙𝗶𝗻𝗱 𝗨𝘀 𝗢𝗻𝗹𝗶𝗻𝗲! 🔍 Website ⇒ https://tsdb.co/homepage 🔍 Slack ⇒ https://slack.timescale.com 🔍 GitHub ⇒ https://github.com/timescale 🔍 Twitter ⇒ https://twitter.com/timescaledb 🔍 LinkedIn ⇒ https://www.linkedin.com/company/timescaledb 🔍 Tiger Data Blog ⇒ https://tsdb.co/blog 🔍 Tiger Data Documentation ⇒ https://tsdb.co/docs 📚 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀 ⏱ 0:00 ⇒ Introduction ⏱ 0:25 ⇒ Why Prompt Templates Exist ⏱ 1:52 ⇒ What Are Prompt Templates? ⏱ 4:07 ⇒ What Problems do Prompt Templates Solve? ⏱ 12:02 ⇒ Context Engineering From Real-World Experience ⏱ 15:44 ⇒ Building and Evaluating Prompt Templates ⏱ 20:05 ⇒ MCP Integration & Open-Source Release ⏱ 22:22 ⇒ Measuring Prompt Template Success ⏱ 26:55 ⇒ The Future of AI Documentation ⏱ 29:20 ⇒ Outro & Final Advice