ralphinho-rfc-pipeline

DAG execution automates the orchestration of work units by mapping them into a Directed Acyclic Graph. This pattern supports both parallel and sequential processing, allowing complex features to progress through multiple stages with structured dependency management.

To use DAG execution for feature development, activate the skill to initiate the RFC-driven process. The system breaks down the project into work units based on RFCs, orchestrates them through a DAG, and manages them through quality gates and a merge queue.

DAG execution is ideal when you need to decompose large features into manageable work units for parallel development. It is necessary for complex feature development requiring robust validation, integration processes, and multi-agent orchestration across multiple stages.

Quality gates work with merge queues by enforcing robust validation on work units before they enter the queue. The merge queue then manages the orderly integration of verified units, ensuring complex feature development maintains quality standards.

Multi-agent DAG execution is required when complex feature development needs decomposition into independently verifiable work units. It supports parallel processing by different teams with clear stages for intake, decomposition, implementation, and verification.

RFC-driven development decomposes large features into manageable, independently verifiable work units. This allows different teams to develop units in parallel, with each unit passing through quality gates and merge queues for robust integration.