{
  "apiVersion": "v1",
  "passage": {
    "id": "uber-one-biggest-learnings-process-like-model-2026",
    "text": "One of the biggest learnings in this process was like the model doesn't know that it's wrong. It always confidently says 100% sure that, yeah, this is the review for your code. Go ahead. But we saw that, no, it actually needs a lot of guidance from the teams, because each team has its own style guide, its own patterns or … anti-patterns that they want to look for.",
    "speaker": "Ameya Ketkar",
    "role": "Speaker, AI Engineer World's Fair 2026 (job title not stated)",
    "organization": "Uber",
    "aiVendor": false,
    "work": {
      "title": "Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026)",
      "type": "talk",
      "date": "2026-08-28",
      "publisher": "AI Engineer (YouTube)",
      "locator": "06:35",
      "url": "https://www.youtube.com/watch?v=EL123UNokkI"
    },
    "grade": "B",
    "verification": {
      "status": "reported"
    },
    "topics": [
      "code-review",
      "coding-agents"
    ],
    "functions": [
      "engineering"
    ],
    "figures": [],
    "context": "Ameya Ketkar is describing what Uber's team learned while adding observability and evaluation to its uReview code-review agent.",
    "url": "https://the-ai-record.com/passages/uber-one-biggest-learnings-process-like-model-2026"
  },
  "notice": [
    "Every passage is reproduced word for word from the cited source.",
    "Check the verification status: \"reported\" means not yet confirmed by an independent second reader.",
    "Organizations flagged aiVendor sell AI tooling and have a reason to publish flattering numbers.",
    "An empty result means the archive holds nothing on it, not that nobody has said anything."
  ]
}