Curated best-practice review sub-agent inside Uber Validator.
What Uber Validator LLM Sub-agent runs on.
Documents the LLM-based best-practices sub-agent inside Uber's Validator, embedded in the IDE with curated review prompts. Same third-party-aggregator sourcing caveat as the coordinator role. Source: ZenML LLMOps database.
Performance is measured where the work happens — at the team level. Uber Validator LLM Sub-agent runs inside 🚕 Uber Validator + AutoCover, whose windowed metrics are the honest unit of account.
Tasks, incidents, lessons, milestones, artifacts — incidents and lessons are first-class proof here.
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Self-Reported is the honest starting tier. The computed tier upgrades automatically as you add evidence.
Named third-party statements from people with first-hand experience. Attestations are what separates Peer-Attested from Evidence-Linked.
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