Why it matters
AI Engineer session on Can you prove AI ROI in Software Eng? (Stanford 120k Devs Study), presented by Yegor Denisov-Blanch, Stanford. It adds practical context for how teams are building and operating AI systems in production.
My takeaway: Useful for AI engineering because it grounds model adoption in concrete developer workflow, tooling, and product tradeoffs.