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Everything You Need to Know About Context Engineering in 40 Minutes | Ravi Mehta
This post is auto-generated from a public YouTube video for personal study notes. It is not an endorsement. The transcript is machine-derived and may contain errors; refer to the original video for accuracy.
About this video
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 development
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