crispi-planning

To prevent context window exhaustion during complex coding tasks, decompose requirements into a multi-stage pipeline separating research, design, and implementation into distinct context windows. This structured planning prevents information overload and maintains alignment.

The best way to plan large-scale feature implementation is using a structured decomposition pipeline that generates research questions, design documents, and vertical implementation plans. This ensures thorough alignment and organizes implementation into independently testable units.

Vertical slicing in software development planning works by organizing implementation into independently testable units. It creates a detailed slice-by-slice implementation plan that ensures each vertical slice delivers a functional segment of the overall feature.

You should use a multi-stage planning pipeline for coding tasks when facing non-trivial complexity that risks context window exhaustion. It enforces structured decomposition and iterative refinement to reduce errors in large-scale development.

To decompose a feature ticket into research questions and an implementation plan, initiate a multi-stage pipeline that separates research, design, and implementation. It produces artifacts like design documents and vertical implementation plans for guided development.