context_product_plan

Aligning product plans with project context involves generating a Minimal Context Harness that converges user needs, features, and acceptance criteria into a recoverable project memory for AI coding agents.

A Minimal Context Harness is a recoverable structure that converges product plans, requirement gathering, and feature definitions into aligned project memory for efficient AI agent processing.

Generating product plans with UI components and verification processes requires reading project context files and applying specific rules for product surfaces to align agent outputs with project requirements.

Yes, this context management approach operates without external dependencies, using internal scripts and references to guide agents in refining product positioning and core issues into a recoverable context.

The best way to gather requirements for feature definition is to provide target users, product positioning, and required capabilities details, allowing the system to clarify processes and acceptance criteria into minimal context.

Apply specific rules for product surface and verification processes when converging product plans into a Minimal Context, ensuring agent outputs align precisely with the existing project context and requirement gathering constraints.