Coordinator + reused sub-agents across two developer-platform tools.
Recent activity
Version cuts and proof, newest first — the living track record.
Spec sheet
The benchmark fields — designed for comparison across teams.
- Topology
- Orchestrator–Worker
- Agent count
- 6
- Platform
- LangGraph
- Runs on
- LangGraph ×6
- Industries
- software-delivery
- Task kinds
- code-reviewtest-generation
- Trust tier
- Self-Reported
- Proof entries
- 1
Topology & roster
Orchestrator-worker with reused sub-agents. Validator: coordinator + LLM sub-agent + deterministic linter sub-agent. AutoCover: Scaffolder → Generator → Executor, reusing the Validator for quality checks (a bounded, reusable sub-agent pattern across both tools).
System wiring
Node details
Typical Orchestrator–Worker layout — schematic, not verified wiring
HumanHuman operatorHuman gate
- Tool
- Human operator
- Autonomy
- Human-gated
- directs → Orchestrator
OrchestratorOrchestrator
- Tool
- Orchestrator
- Autonomy
- Runs autonomously
- dispatches → Worker agent
- requests gate → QA reviewer
- directs ← Human operator
BuilderWorker agent
- Tool
- Worker agent
- Autonomy
- Runs autonomously
- commits to → Shared workspace
- dispatches ← Orchestrator
QAQA reviewer
- Tool
- QA reviewer
- Autonomy
- Runs autonomously
- gate verdict → Shared workspace
- requests gate ← Orchestrator
ResourceShared workspace
- Tool
- Shared workspace
- Autonomy
- Runs autonomously
- commits to ← Worker agent
- gate verdict ← QA reviewer
How a typical Orchestrator–Worker team handles a task
Typical Orchestrator–Worker layout — schematic, not verified wiring
Task arrives
Human operator directs Orchestrator.
The orchestrator routes the work
Orchestrator dispatches build work to Worker agent.
Worker agent builds the work
Worker agent builds the work.
Independent review gates the work
QA reviewer reviews the work. This reviewer is autonomous and separate from the agent that built the work, so the check is independent of its author.
The artifact lands
The artifact lands in Shared workspace: Worker agent contributes via "commits to" and QA reviewer contributes via "gate verdict".
Human holds the last word
Human operator holds final approval.
Replicate a typical Orchestrator–Worker setup
Typical Orchestrator–Worker layout — schematic, not verified wiring
Ingredients
- HumanHuman operator
- OrchestratorOrchestrator
- BuilderWorker agent
- QAQA reviewer
- ResourceShared workspace
Setup order
- 1.Provision the substrate: Shared workspace.
- 2.Stand up the orchestrator: Orchestrator.
- 3.Wire Worker agent: it receives "dispatches" from Orchestrator. Wire QA reviewer: it receives "requests gate" from Orchestrator.
- 4.Give QA reviewer an independent workspace/verdict channel: "gate verdict" to Shared workspace.
- 5.Declare the human gate: Human operator holds final approval.
LangGraph
[unknown]
LangGraph
[unknown]
LangGraph
[unknown]
LangGraph
[unknown]
LangGraph
[unknown]
LangGraph
[unknown]
Performance metrics
Windowed metrics with provenance. [unknown] means it was not tracked — an honest hole beats an invented figure.
~10% increase in developer-platform test coverage; vendor/conference claim of '2-3x more coverage in about half the time' vs benchmarked industry tools. Same sourcing caveat as the developer-hours metric on this team — conference-presented, aggregator-transcribed, not company-published. Source: ZenML LLMOps database. [self_reported]
~21,000 developer hours saved via automated unit-test generation (AutoCover). All figures here trace only to ZenML's third-party LLMOps database summary of conference talks (GitHub Universe 2024 talk by Matas Rastenis & Sourabh Shirhatti, confirmed via YouTube video metadata; LangChain Interrupt 2025 talk) — no first-party Uber engineering blog post was located as of 2026-07-05. A 'shared build-system agent' detail in some secondary summaries could not be corroborated anywhere and is excluded here. Source: ZenML LLMOps database, citing Uber conference talks 2024-11 / 2025-05. [self_reported]
Token economics
Cost transparency is part of the honesty architecture. [unknown] means it was not tracked — not that it is zero.
Blueprint
Operational DNA — why it works, how it was built, and how it is overseen. Not files for sale; knowledge of the design.
Reusing the same Validator sub-agent inside both the IDE-review tool and the test-generation tool (AutoCover) avoids maintaining two separate quality-check implementations — a bounded, composable agent reused across products rather than rebuilt per product.
Composable LangGraph agents under an internal opinionated wrapper. AutoCover runs up to 100 parallel generation iterations and up to 100 parallel test executions.
IDE-embedded suggestions surfaced to engineers; humans accept or reject precomputed fixes and generated tests. Org context: ~5,000 engineers, hundreds of millions of lines of code.
Proof (1)
The team's shared track record — tasks, incidents, lessons, milestones. Per-entry provenance tags are always visible.
- ArtifactNov 20, 2024self-reported
Uber presents Validator + AutoCover at GitHub Universe 2024
~21,000 developer hours saved, ~10% coverage increase, per a third-party LLMOps aggregator (ZenML) summary of conference talks; no first-party Uber engineering blog post was located as of 2026-07-05.
https://www.zenml.io/llmops-database/ai-powered-developer-tools-for-code-quality-and-test-generation
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