ralphinho-rfc-pipeline

To decompose a large feature into independently verifiable work units, you can use an RFC-driven orchestration pipeline that splits the feature into a DAG of staged work units. This approach applies quality gates to each unit to improve traceability and manage integration risk.

RFC-driven DAG orchestration is a governance process that structures feature development into a directed acyclic graph of independently verifiable work units. It coordinates unit specification, assignment, and validation to ensure traceability across complex integration pipelines.

To implement quality gates in a multi-unit merge queue, the pipeline enforces validation checkpoints during unit assignment and integration. It uses merge-queue driven governance to verify each work unit independently before final system verification across the DAG.

You need to split large features into an RFC pipeline when a feature is too large for a single implementation pass and requires staged decomposition. This process manages complexity tiers and tracks execution risk through an outputs catalog during recovery workflows.

Yes, the pipeline supports recovery workflows for failed work units as part of its merge queue governance. It tracks execution and risk through an outputs catalog, allowing the DAG orchestration to recover and re-validate specific units before final system verification.