orchestrator

Multi-sprint AI pipelines are managed by coordinating stages, enforcing approval gates, and tracking artifacts. This ensures quality and process adherence from concept intake to final shipping across parallel execution and dependencies.

Pipeline orchestration for AI-driven workflows coordinates the entire product development process, managing stages like PRD creation, planning, building, and evaluation. It applies strict state management and artifact creation for transparent progress tracking.

Approval gates are enforced by pausing progress at critical stages to maintain control over the development process. This ensures user approval is required before moving forward from phases like planning or evaluation.

You can skip to specific phases like planning, building, or evaluation in a multi-sprint workflow by using targeted commands. This allows you to manage the pipeline from a product concept or jump into a specific stage directly.

Build-evaluate loops handle quality criteria failures with a maximum of three iterations. If quality criteria are not met within these limits, the system escalates issues rather than continuing the loop indefinitely.

Multi-sprint pipeline orchestration supports parallel execution and dependency tracking through comprehensive state management. It logs artifacts and coordinates multiple sprints simultaneously to ensure successful product delivery.