aming-claw-backlog-dupe-demo

Backlog duplicate detection works by comparing new requests against existing backlog entries to surface overlaps. An observer protocol enforces first-read checks and evidence capture to decide whether to merge, supersede, or separate items.

Merge, supersede, or separate backlog items when an observer detects overlapping requests during intake. The decision depends on evidence capture and dashboard linkage to ensure transparent governance and avoid redundant work.

An observer protocol for backlog management requires first-read checks, evidence capture, and dashboard linkage when reviewing new requirements. It guides the decision to merge, supersede, or separate duplicate entries during AI-backed backlog intake sessions.

Yes, you can test duplicate detection using deterministic fixture setups. The skill supports fixture and setup guidance to simulate observer sessions where new requirements are compared against existing backlog entries for auditing.

Backlog duplicate resolution applies during observation sessions for Claude Code or Codex. When a user submits a new requirement, the observer checks existing backlog entries and records the merge, supersede, or separate outcome.

The best way to audit backlog merge decisions is to use evidence-ready outputs and dashboard references. The observer protocol captures evidence and links outcomes to the dashboard, ensuring transparent governance for backlog intake.