Everything You Need to Know About Context Engineering in 40 Minutes | Ravi Mehta

Ravi is a top AI instructor and former CPO of Tinder. In our episode, he did a live demo of using his 3-layer context engineering system (functional, visual, data) to build a beautiful music app instead of the usual AI slop. You’ll never build with AI the same way again after learning about Ravi’s approach.Ravi and I talked about:(00:00) Why most AI prototypes feel like slop(01:08) Context engineering, explained from first principles(05:12) Layer 1 demo: Functional context (09:38) Layer 2 demo: Visual context (13:31) Layer 3 demo: Data context(15:47) Building a custom MCP server in Claude Code(19:54) The full stack prompt: all 3 layers in one shot(24:21) Why separating the data layer is the real unlock(28:59) Should PMs prototype or just ship to production?(33:51) Where PRDs still fit in AI native product developmentThanks to our sponsors:Wispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryangLinear: The AI agent platform for modern teams https://linear.app/behind-the-craftGranola: The AI meeting notes app that saves you hours. https://granola.ai/peter📌 Get the takeaways: https://creatoreconomy.so/p/three-layer-system-for-context-engineering-ravi-mehtaWhere to find Ravi:X: https://x.com/ravi_mehtaWebsite: https://www.ravi-mehta.com/Subscribe to this channel — more interviews coming soon!