planning-pipeline

Feature planning through a multi-agent discovery pipeline transforms vague requests into concrete plans, architecture, and phased work breakdowns. Provide a feature request and the pipeline coordinates gap finding, resolution, and architectural design to reduce ambiguity and rework.

Multi-agent discovery coordinates specialized agents—InitialPlanner, GapFinder, GapResolver, RefinedPlanner, ArchitecturalDesigner, and WorkPlanner—across sequential phases. Each agent handles a specific stage from initial understanding through gap resolution to architecture and phased work planning.

Yes, the planning pipeline requires a defined set of agents labeled 01 through 08, including InitialPlanner, GapFinder, GapResolver, RefinedPlanner, ArchitecturalDesigner, WorkPlanner, and Implementation. These agents must be available to execute the orchestrated discovery workflow.

The lessons learned framework uses shared global and codebase-specific files to capture discoveries across planning sessions. These files guide future feature planning by retaining knowledge from previous pipeline runs, improving accuracy and reducing repeated gaps over time.

Reducing ambiguity and rework is best achieved by orchestrating multi-phase discovery through a structured planning pipeline. The pipeline systematically resolves gaps, designs architecture, and produces phased work breakdowns before implementation begins, catching issues early.

Yes, the planning pipeline provides a standardized process teams can adopt to design architecture and plan work efficiently. The multi-agent workflow and shared lessons learned files enable scalable collaboration across sessions and team members.