ralphinho-rfc-pipeline

You break down a large software feature into a directed acyclic graph (DAG) of work units using an RFC-driven pipeline pattern. This approach decomposes complex features into manageable, independently verifiable components with defined dependencies, acceptance tests, and rollback plans.

A merge queue manages dependencies and integration by enforcing rules that ensure all work unit dependencies are met before merging. This guarantees pipeline integration remains stable and sequential when implementing complex, interdependent software features.

The best way to orchestrate multi-agent DAG execution for complex feature development is using a reference-driven pipeline pattern. This manages work unit implementation, validation, and defined pipeline stages to ensure robust quality gates and streamlined integration.

You need a reference-driven pipeline with quality gates when implementing large-scale software features like a new microservice with multiple interdependent components. It ensures each component is developed, tested, and integrated sequentially with rollback plans in place.

Yes, you can use a DAG pipeline to manage rollback plans for interdependent microservice components. The pipeline supports detailed unit specifications that explicitly include dependencies, acceptance tests, and rollback plans for each work unit.

The ralphinho-rfc-pipeline skill requires no external dependencies to function. It operates as a standalone orchestration tool, requiring only an attached RFC document to decompose a complex feature into a managed pipeline of work units.