ralphinho-rfc-pipeline

Multi-agent orchestration decomposes large features by breaking them into independently verifiable work units. Each unit is validated before integration, ensuring safer and faster delivery while preventing scope creep and misalignment in complex pipelines.

RFC-driven DAG decomposition splits features into work units with explicit metadata like dependencies, scope, and acceptance tests. It structures the pipeline as a directed acyclic graph to coordinate unit implementation, validation, and merge queue orchestration.

Quality gates and rollback plans are enforced by requiring explicit unit metadata during pipeline orchestration. Each work unit must define acceptance tests, risk level, and a rollback plan before it can pass validation and enter the policy-driven merge queue.

Yes, a policy-driven merge queue orchestrates complex feature development pipelines by managing the integration of verified work units. It ensures each unit passes validation gates and coordinates end-to-end verification before final integration.

Recovery patterns for stalled work units provide end-to-end reliability by applying structured retry and rollback workflows. The pipeline uses explicit unit metadata and dependency tracking to isolate failures and resume the orchestration without blocking dependent units.

RFC decomposition is needed when features are too large for a single agent pass and suffer from scope creep. It enables multi-agent pipelines to split work into verifiable units with defined dependencies, acceptance tests, and rollback plans for reliable delivery.