ralphinho-rfc-pipeline

Large feature development tasks exceeding single-agent capacity are broken down via RFC decomposition into manageable, independently verifiable work units with clear dependency tracking. This DAG-based task orchestration eliminates disjointed work and missed dependencies during cross-team builds.

DAG-based task orchestration for multi-agent workflows directs large feature builds by mapping dependencies between independently verifiable work units. It ensures strict dependency tracking and automated recovery for stalled work units during complex, multi-file system updates.

Quality gates are enforced across work units by passing each through research, implementation, testing, and review stages. Merge queue management enforces rebase rules, re-runs integration tests after each merge, and blocks units with unresolved dependency failures.

RFC decomposition applies to cross-functional feature builds touching UI, backend, and external integrations by splitting work into separate units. Each unit, such as chat interface or prompt routing, receives defined acceptance tests and risk levels for independent verification.

The best way to manage dependencies in multi-file behavior changes is using DAG orchestration to track work unit relationships. It enforces quality gates and blocks merging when unresolved dependency failures occur, preventing failed integrations.

Automated recovery for stalled work units is needed when executing large feature development that requires strict dependency tracking. It handles complex, cross-functional builds by independently verifying units and preventing stalled tasks from blocking the pipeline.