ralphinho-rfc-pipeline

DAG decomposition breaks large features into RFC-style work units that are independently verifiable and merge-ready. It enables multi-agent execution by managing dependencies and applying quality gates across units.

RFC-driven pipeline orchestration coordinates multi-agent feature splits through RFC intake, DAG decomposition, and unit assignment. You need it when a feature is too large for a single agent pass and requires structured validation and merge-ready reporting.

You manage dependencies and quality gates by modeling decomposed work units as a DAG. The pipeline validates each unit independently before entering the merge queue, ensuring merge readiness and end-to-end dependency tracking.

Yes, DAG decomposition supports merge-ready reporting and unit validation by assigning work units to agents for implementation and validation. Each unit passes through quality gates to ensure independent verifiability before entering the merge queue.

The best way to orchestrate multi-agent feature splits is through RFC intake followed by DAG decomposition and unit assignment. This approach validates units through quality gates and manages the merge queue to ensure independent verifiability and merge readiness.

You should avoid RFC-driven DAG decomposition when a feature is small enough for a single agent pass. It is designed for large features requiring structured unit assignment, dependency management, and quality gates across multiple work units.