ralphinho-rfc-pipeline

Large features are decomposed into manageable work units using RFC-driven DAG decomposition, which breaks feature requests into a directed acyclic graph of independently verifiable, dependency-tracked tasks. This structured workflow ensures each unit has clear dependencies, acceptance criteria, and rollback plans.

Quality gates are enforced by requiring each work unit to undergo research, implementation, testing, and review phases before merging. This structured pipeline catches integration issues early and ensures delivery reliability for cross-service or cross-file feature builds.

Stalled work units are handled by automatically narrowing their scope and retrying with updated constraints. The merge queue enforces merge rules to avoid dependency conflicts, ensuring integration risk is reduced across the multi-agent workflow.

Yes, RFC-driven DAG execution applies directly to cross-file feature builds requiring dependency tracking and quality gate enforcement. It orchestrates complex features by splitting them into isolated units for API design, database schema changes, and frontend integration.

Multi-agent DAG execution is needed when large, complex features exceed the capacity of a single agent pass, risking uncoordinated work and integration failures. It provides a structured workflow to break down work into verifiable units with rollback plans.