Design document for `lore who` — a people intelligence query layer over
existing GitLab data (280K notes, 210K discussions, 33K DiffNotes, 53
participants). Answers five collaboration questions: expert lookup by
file/path, workload summary, review pattern analysis, active discussion
tracking, and file overlap detection.
Key design decisions refined across 8 feedback iterations:
- All SQL is fully static (no format!()) with prepare_cached() throughout
- Exact vs prefix path matching via PathQuery struct (two static SQL variants)
- Self-review exclusion (author != reviewer) on all DiffNote branches
- Deterministic output: sorted GROUP_CONCAT results, stable tie-breakers
- Bounded payloads with *_total/*_truncated metadata for robot consumers
- Truncation transparency via LIMIT+1 overflow detection pattern
- Robot JSON includes resolved_input for reproducibility (since_mode tri-state)
- Multi-project correctness with project-qualified entity references
- Composite migration indexes designed for query selectivity on hot paths
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
