AI-SDLC
AI-SDLC
Concepts

Session Hierarchy for Parallel Dispatch

Three tiers of Claude Code sessions with fixed names and one job each: a planner where backlog work is designed, a dispatch session that owns throughput, and N executors that each run exactly one task at a time. The tiers are peers technically. The hierarchy is a protocol: an authority matrix, a durable assignment channel, an escalation chain that ends at the operator only as a last resort, and a rule that empties an executor's context between tasks.

RFC: RFC-0051 — Session Hierarchy for Parallel Dispatch · Status: Signed off; roster schema, the bootstrap command and the dispatch brief shipped October 2026 · Companion: RFC-0041 Conductor/Worker

How the operator got here

This RFC codifies the shape the framework's own operator arrived at after trying several parallel-execution patterns on a single machine: one autonomous session doing everything, sibling worker sessions pulling from a board, and N tmux panes each running the execute command. Each worked. Each also lost context, double-dispatched, or stalled on a question only a human could answer, at 3 a.m.

The three tiers

TierDefault modelOwnsDoes not do
PlannerStrongest availableRFC walkthroughs, task design, decisions that need judgmentDispatch or execute
Operator-dispatchMid-tierThroughput: assignment, rebase, lease-push on a task's own branch, CI retrigger, requeue, filing follow-upsDesign decisions
Executor (N, five by default)Cost-efficientExactly one execute run at a timeAnything outside its assigned task

Authority for the dispatch tier's operational actions is granted in policy, so throughput never waits on a typed confirmation. Escalation runs upward: an executor asks dispatch, dispatch asks the planner, the planner runs the decision rubric and records the call in the Decision Catalog, and only an irreversible or operator-reserved question reaches the human.

What makes it durable

  • Roster. The bootstrap command starts the tiers in named tmux sessions and writes a roster the tiers use to find each other.
  • Assignment channel. Assignments survive an executor crash, restart or context clear. A task is never lost because the session that held it went away.
  • Dispatch brief. Generated from task metadata, with waves and sequence groups, so dispatch knows what can run in parallel and what must wait.
  • Context lifecycle. An executor is emptied between tasks. Stale context from the previous task does not leak into the next one.
  • Usage by role. Each tier's consumption is visible in the usage ledger, so the operator can see what the planner, dispatch and each executor cost.

What this unlocks

  • A single operator can run five concurrent executors overnight and wake up to a list of decisions rather than a list of stalls.
  • The same protocol scales down to one session wearing all three hats, and up toward the multi-host enterprise scheduler.

Where to go next