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Agent-planned sprints

Sprint planning starts from the specs, not a gut feel: PlanningAgent sizes the backlog, schedules it along the dependency critical path, and shows its reasoning, then a human commits.

How it works

01
Sizes come from the spec

Each item is sized (1/2/3/5/8) from its own requirements artifact, not a guess at a planning meeting.

02
A real schedule, not a wish list

A Critical Path Method pass computes earliest and latest start, slack, and the critical path across the dependency graph — sprints are packed in dependency order, and a dependency cycle surfaces as a named warning instead of a bogus schedule.

03
Delivery order, with reasoning

The agent orders items for delivery and explains why, in plain language a lead can push back on.

04
A malformed run degrades safely

If the agent's output doesn't parse, planning falls back to a simple 1-point/backlog-order plan rather than blocking.

05
Committing is the gate

A plan only becomes real once a human commits it at the plan gate — and a committed plan can't silently change afterward.

The agents behind it

Human control

Plan gate — a human commits the sprint; freedom to reorder inside a sprint is real, but each item still passes its own implementation gates.