Summary
Explore an AI-assisted knowledge graph (or lightweight fact ledger) to track product/engineering knowledge over time.
Scope
- Problem: we need a structured, maintainable way to track history/changes across code, docs, decisions, and workflows.
- Idea: use AI to extract entities/relations from sources of truth (code/docs/PRs/issues/schemas) and store with provenance, timestamps, and confidence.
- Maintenance: re-ingest on merges, flag conflicts/drift, and use light human confirmation.
- Start small: v1 as JSON/YAML in repo or docs before moving to a graph DB.
Summary
Explore an AI-assisted knowledge graph (or lightweight fact ledger) to track product/engineering knowledge over time.
Scope