ralphinho-rfc-pipeline

Feature decomposition uses RFC intake and DAG decomposition to break large features into independently verifiable work units for multi-agent environments. This ensures traceable progress and integration-ready reporting.

An RFC-driven pipeline orchestrates multi-agent workflows by covering RFC intake, unit assignment, implementation, and validation. It applies quality-gated merge rules and recovery strategies to produce integration-ready reports.

Manage merge integration across multiple agents using merge queue rules and recovery strategies within a quality-gated pipeline. This maintains integration quality and guardrails during feature implementation and final system verification.

DAG decomposition is needed when a feature is too large for a single agent pass and must be split into manageable, independently verifiable work units. It enables traceable unit assignment and validation.

The pipeline implements quality-gated validation with unit specs to ensure traceable progress. It verifies work units before merge integration, closing the loop with final system verification and production-ready reporting.

The pipeline requires features to be described as RFC units before decomposition begins. It is designed for large features needing independent work units, so smaller single-agent tasks may not benefit from its overhead.