ralphinho-rfc-pipeline

To break a large RFC into independently verifiable units, you can operationalize RFC decomposition into a multi-agent DAG execution workflow, creating a dependency-aware plan with per-unit quality gates and acceptance tests for parallel completion.

Managing dependencies and merge queues for multi-agent feature development requires tracking explicit unit dependencies and enforcing merge-queue safety, which includes rebase enforcement, integration test reruns, and controlled integration across teams.

Enforcing quality gates for RFC work units involves applying a per-unit quality pipeline that produces unit-level research, implementation plans, tests, reviews, and merge-ready reports to prevent fragile merges.

To recover from stalled multi-agent DAG orchestration, you can utilize a stall-recovery loop that narrows scope and retries failed units, ensuring dependency tracking and controlled integration are maintained.

Multi-agent DAG orchestration works for large features requiring controlled integration across teams by turning broad proposals into dependency-aware execution plans that multiple agents complete in parallel with merge-safe units.

Explicit dependencies and acceptance tests are needed for RFC merge gating to ensure merge queue safety, allowing controlled integration and preventing fragile merges during large feature development.