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To verify a researched feature exists in your codebase, use self-query witnessing to cross-reference external research against internal feature-query and indexing surfaces. This validation process confirms whether a capability is present, partial, or absent before filing issues.

Witness-based gap analysis validates proposed capability gaps by cross-referencing external research against your internal codebase. It ensures filed backlog issues are witnessed, deduped against existing features, and grounded in specific code seams to prevent misaligned feature requests.

Ground external research ideas by operating on the research-to-backlog pipeline to anchor new issues to specific files and line numbers. This requires integrating with internal indexing surfaces to produce falsifiable, evidence-based development tasks.

Yes, validating feature gaps requires integration with internal feature-query and indexing surfaces. These tools allow the system to self-query the kernel, confirm whether functionality is missing, and produce grounded, evidence-based development tasks.

Cross-referencing competitor features against your internal codebase prevents the accumulation of redundant or duplicate feature requests. It forces a rigorous verification process ensuring you only file issues for genuinely missing functionality, keeping the backlog grounded.

Codebase grounding for backlog feature requests is not suitable when lacking internal feature-query and indexing surfaces. Without these dependencies, the system cannot self-query existing capabilities or anchor issues to specific code seams to produce falsifiable tasks.