David Curlewis, Senior Engineering Manager at Canva, joins Ankit Jain on HangarDX to talk about what happens to platform teams when AI gives every developer a bulldozer.

Why platform teams should go down a layer and offer primitives instead of full highways, and
How inner sourcing and a graduation model help platform teams scale without fighting their own developers, about
What happens when vibe-coded dashboards go mission-critical overnight, and why outcome metrics beat volume?

Chapters

00:00 Welcome to Hangar DX
01:03 David’s platform engineering background
02:13 Why AI is changing platform teams
04:04 The golden path versus AI-built roads
07:40 Platform primitives: observability, security, and MCPs
11:46 Why platform engineering is becoming a core company function
14:56 Centralization, autonomy, and maturity
20:51 Inner source as a model for shared ownership
23:17 Designing contribution guidelines for AI agents
26:50 Intent debt, cognitive debt, and keeping specifications aligned
31:00 Why companies are building their own AI platforms
32:25 Moving from code review to reliable validation
34:50 Measuring AI productivity beyond lines of code
40:06 The return of generalist engineers

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