Why it matters
AI Engineer session on What Data from 20m Pull Requests Reveal About AI Transformation, presented by Nick Arcolano, Jellyfish. 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.