iterate_plan

To iterate on an implementation plan, you load the existing plan file, research requested changes, and apply precise edits that preserve metadata integrity. This process validates technical feasibility and maintains structural traceability across phases and milestones.

Plan refinement is the process of absorbing feedback and applying surgical updates to an existing implementation plan. It involves reading current milestones, spawning focused research sub-tasks, and validating changes against success criteria to ensure deterministic updates.

Yes, plan iteration supports backend synchronization with git, Obsidian, Notion, and Anytype. It enables deterministic updates and maintains metadata integrity while propagating changes across these supported thought artifact backends.

You apply feedback by providing the plan file path and your requested changes. The system loads the plan, proposes precise edits, validates technical feasibility, and waits for your confirmation before applying updates to maintain metadata integrity.

Yes, you can spawn focused research sub-tasks when validating technical feasibility during plan iteration. This allows you to research requested changes thoroughly before applying surgical updates to the implementation plan.

Deterministic updates require confirmation before applying edits to an implementation plan, ensuring metadata integrity is preserved. This means changes are not applied automatically and require validation against current milestones and success criteria first.