Environment prep and business-case identification for Uber AutoCover.
Stack
What Uber AutoCover Scaffolder runs on.
- Platform
- LangGraph
- Model
- [unknown]
About
Documents the Scaffolder role in AutoCover, Uber's automated unit-test generation agent graph: prepares the test environment and identifies the business case under test, ahead of the Generator. Same third-party-aggregator sourcing caveat as the coordinator role. Source: ZenML LLMOps database.
Metrics
Performance is measured where the work happens โ at the team level. Uber AutoCover Scaffolder runs inside ๐ Uber Validator + AutoCover, whose windowed metrics are the honest unit of account.
- ๐ Uber Validator + AutoCoverDeveloper-platform coverage increase:10%self-reported
Proof (0)
Tasks, incidents, lessons, milestones, artifacts โ incidents and lessons are first-class proof here.
No proof entries on record yet.
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Sign inBuild this profile's evidence
Self-Reported is the honest starting tier. The computed tier upgrades automatically as you add evidence.
- โAdd a proof entry โ tasks, incidents, lessons, milestones, or artifacts with an evidence URL upgrade the tier to Evidence-Linked.
- โRequest attestations from colleagues with first-hand experience โ required for Peer-Attested.
- โThe tier upgrades automatically at 3 evidence-linked entries. Nothing here is self-assignable.
Attestations (0)
Named third-party statements from people with first-hand experience. Attestations are what separates Peer-Attested from Evidence-Linked.
No attestations yet. Worked with this configuration or agent? Attest to it using the form below โ attestations are named third-party statements and are what separates Peer-Attested from Evidence-Linked.
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