ralphinho-rfc-pipeline

Decomposing large features into verifiable work units requires an RFC-driven approach, breaking tasks into independent units with a staged quality pipeline. This enables safer collaboration across multiple agents and clearer ownership through deterministic execution and dependency management.

RFC-driven DAG decomposition is a planning method that structures complex tasks into directed acyclic graphs for scalable execution. You need it when multi-agent workflows require independent validation, dependency management, and merge queuing to enforce controlled delivery and verification.

Setting up a multi-agent quality pipeline involves defining an RFC, decomposing it into work units, and running them through staged quality gates. The pipeline applies merge rules and comprehensive verification to ensure controlled delivery and transparent audit reports.

Yes, RFC-driven orchestration manages dependencies across multiple agents by assigning work units based on a unit spec schema and complexity tiers. It ensures deterministic execution and independent validation before tasks enter the merge queue.

The best way to enforce controlled delivery in multi-agent workflows is implementing staged quality gates and merge rules. This approach specifies complexity tiers and uses a merge queue to ensure comprehensive verification before any work unit is safely merged.

Multi-agent task execution fails without independent validation because complex tasks lack controlled delivery and verifiable outcomes. Implementing recovery mechanisms, audit reports, and transparency of outcomes ensures safer collaboration and clearer ownership across agents.