pipeline-orchestrator

An end-to-end pipeline orchestrator sequences multiple sub-skills in a directed DAG to translate product descriptions into tests, designs, and artifacts. It enforces mandatory human review gates and generates a coherent artifact manifest for developer handoff.

The best way to coordinate parallel branches in a feature development workflow is using a pipeline orchestrator that executes branches like TDD and technical design simultaneously where the DAG structure allows, managing cross-skill inputs and outputs automatically.

To generate an artifact manifest for a multi-step AI pipeline, use a pipeline orchestrator that tracks all produced files and outputs. It coordinates sub-skills sequentially and records every artifact into a complete manifest for developer handoff.

Yes, you can pause and resume a pipeline across phases because the orchestrator maintains a pipeline state object. This state management allows you to partial-run workflows and resume execution after completing mandatory human review gates.

No, the pipeline orchestrator requires no specific dependencies to sequence sub-skills. It reads, validates, and wires cross-skill inputs and outputs natively to produce a developer-ready handoff package without external tool requirements.

You need human review gates in an automated feature development pipeline when translating product descriptions into tests and designs. The orchestrator enforces Gate 1 and Gate 2 reviews to ensure quality and validate artifacts before progressing.