Semantic Task Matchmaking: Legacy Vector Gravity After 6+ Months Away
8/13/2025 · 7 min
See the related case study: Command-Ask: Context-aware GitHub AI Assistant
Series linkage: This field note is the catalyst that led to Part I (diagnosis) and Part II (playbook) of the “Ghost in the Machine” series. It captures the raw observation—persistence without presence—and frames the narrative for stakeholders. See Glossary for terminology.
1. Context: the triggering observation
During my tenure the company (Ubiquity) introduced an AI + RAG semantic task matchmaking layer: vector embeddings of past work, completed issues and tasks, driving “suggested / tagged” developer assignments atop Ubiquity OS. I have been absent >6 months. Yet in the latest metrics export (self-generated 2025-08-19) I remain the second most semantically tagged contributor.
Source table: contributor_table.csv
(timestamp: 2025-08-19T22:21:54.761Z). Columns: Merged PRs, Semantic Tags, Dormant windows, etc.
2. Snapshot: tag distribution (evidence)
Rank | Contributor | Semantic Tags | Merged PRs | Tags / Merged PR |
---|---|---|---|---|
1 | gentlementlegen | 197 | 783 | 0.25 |
2 | Keyrxng | 74 | 136 | 0.54 |
3 | whilefoo | 47 | 119 | 0.39 |
4 | 0x4007 | 38 | 283 | 0.13 |
5 | shiv810 | 35 | 55 | 0.64 |
6 | ishowvel | 20 | 14 | 1.43* |
*Small denominator; high ratio but low absolute surface.
- Successors combined: 35 + 3 = 38 (< my 74) despite recent inactivity.
Condensed
Drivers, remediation formulas, and metrics now live in Ghost series Part I & II; this field note retains only the trigger and tag table.
Legacy vector gravity reveals temporal resistance—this note records the spark.
See also
- Context bot evolution — Context-aware answers on GitHub
- Organizational lessons — Organizational dynamics arc