~/talk

AI Engineering Stack: Assisted to Delegated

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Cloudflare reports 93% R&D adoption after wiring AI Gateway for model routing, Access for identity, Backstage as a service catalog, and Agents.md for agent context; an internal multi‑agent AI code reviewer enforces a machine‑readable engineering codex and blocks CI until AI approval; adoption spikes after Opus 4.5 and one‑command defaults; measurement relies on requests, tokens, model mix and a break‑glass workflow to track fixes and tune cost versus value.

AI-written summary · about

  1. 0:00Cloudflare's AI engineering stack in practice
  2. 3:30AI Gateway, Access, Backstage, and Agents.md
  3. 4:51Getting to 93% R&D adoption
  4. 15:38Backstage as the system map for agents
  5. 21:06Measuring value beyond PR throughput
  6. 28:42AI code review as an objective gate
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