ralphinho-rfc-pipeline

Breaking down large features requires RFC intake and DAG decomposition to split requirements into dependency-aware work units. This pipeline handles unit specification, assignment, and staged reviews to enable controlled multi-agent integration across teams.

RFC-driven decomposition is the process of transforming large feature requests into structured, verifiable work units using directed acyclic graph (DAG) mapping. It enforces staged reviews, dependency-aware merges, and quality gates throughout the integration pipeline.

Enforcing dependency-aware merges requires a controlled integration pipeline that validates unit dependencies before merging. This workflow manages merge queues and applies quality gates to verify staged implementations during multi-agent execution.

Yes, RFC pipeline decomposition is designed specifically for multi-agent execution in complex software projects. It handles end-to-end workflow stages from initial RFC intake through unit assignment, implementation, validation, and final system verification.

Managing an end-to-end workflow requires a pipeline that orchestrates RFC intake, DAG decomposition, unit specification, and implementation. The pipeline enforces dependencies, validates units, and manages the merge queue to ensure final system verification.

You need a DAG decomposition pipeline when coordinating complex software changes that require breaking large features into manageable work units. It is essential when staged reviews, dependency enforcement, and controlled integrations across multiple teams are required.