planning

To plan and refine non-trivial code changes, you can use a structured planning workflow to generate a dated canonical plan document in `docs/plan/` and iteratively refine it through a multi-stage review process.

A repo-local planning workflow is a structured process that scopes significant refactors or experiments by creating explicit written plans directly within the repository, ensuring team alignment and risk assessment before implementation begins.

You can coordinate a multi-stage review for technical documentation by orchestrating feedback from designated pragmatic, system-level, and deep-learning reviewers, alongside optional compute and devil's advocate reviews to refine the plan.

You need to create a canonical plan for an experiment design when undertaking non-trivial changes that require explicit written plans, risk assessment, and multi-reviewer alignment prior to starting the actual implementation.

No, the planning workflow operates without external dependencies, relying entirely on repo-local scripts and references to manage the creation and refinement of your dated canonical plan documents.

The best way to scope a significant refactor with multiple reviewers is to draft an initial plan in `docs/plan/` and iterate on it through structured pragmatic, system-level, and deep-learning reviews until it is implementation-ready.