ralphinho-rfc-pipeline

To split large features for multi-agent execution, you use RFC decomposition to break down complex requests into independent, verifiable work units with clear dependency graphs. This prevents incomplete work and integration conflicts during cross-service changes.

The best way to track dependencies for cross-service schema updates is using DAG orchestration. It maps work units into a directed acyclic graph, enforcing dependency rules and automatically rebasing branches on the latest integration branch to prevent broken merges.

Quality gates in a multi-agent pipeline enforce a standardized sequence of research, implementation, testing, and review for each work unit. A unit only becomes eligible for merging after passing these automated validation checks to ensure reliable feature delivery.

Yes, you can automate failure recovery for stalled work units during feature integration. The pipeline automatically evicts stalled units, snapshots findings, and regenerates narrowed scopes to retry work with updated constraints for reliable execution.

You need DAG orchestration for software development workflows when handling high-risk feature implementations like security modifications or cross-service changes that exceed a single agent pass. It provides strict dependency tracking and integration validation to ensure reliable delivery.