ralphinho-rfc-pipeline

You can decompose large software features into verifiable work units using RFC-style decomposition. This approach breaks down complex feature development into independent units that can be tracked and validated across teams.

DAG-based orchestration manages multi-agent feature development by mapping RFC intakes into a directed acyclic graph. This structures the work units, applies quality gates, and coordinates merge queues to ensure controlled integration.

The best way to validate complex features across teams is applying structured unit specification and quality gates. This ensures each decomposed work unit is independently implemented, validated, and tracked for end-to-end correctness.

Yes, you can recover stalled work units during multi-agent orchestration. The pipeline includes recovery paths for stalled units and maintains auditable execution logs to resume and track progress.

You need RFC-style decomposition when delivering complex software features that span multiple teams. It provides clearer scope, traceability, and incremental delivery by splitting work into independently verifiable units.

Merge queue rules integrate with quality gates to control multi-agent pipelines by enforcing validation checks before integration. This guarantees each work unit meets specified requirements before merging into the main branch.