repo-harness-prd

Product Requirement Documents generated for AI implementation use evidence-based validation and a sprint-consumable structure to maintain data integrity. This approach aligns Claude and Codex with repository workflow by organizing content into plans/prds/ directories for direct sprint execution.

Structuring PRDs for sprint planning requires a sprint-consumable format with evidence rules to ensure data completeness. Organizing content into plans/prds/ directories maintains repository workflow consistency and directly aligns AI coding assistants with sprint execution objectives.

Creating a PRD that aligns Claude and Codex requires structured content organization and evidence-based validation. This approach maintains repository workflow consistency by organizing product requirements into dedicated plans/prds/ directories for direct AI consumption.

Generating AI-friendly PRDs requires no manual formatting for sprint execution because the process automates content organization into a sprint-consumable structure. Evidence rules ensure data completeness, allowing direct use in sprint planning without additional formatting overhead.

You can use product ideas directly to generate sprint-consumable PRD content by running an automation command. This transforms initial concepts into structured product requirements with evidence rules, outputting organized files into plans/prds/ directories for immediate sprint use.

Evidence rules in product requirements ensure data integrity and completeness for AI implementation. This validation mechanism prevents ambiguous instructions, helping Claude and Codex execute sprint tasks accurately within the established repository workflow.