Database:
- PostgreSQL + pgvector for semantic search over skills and documents
- OpenAI embeddings for semantic similarity
- CLI tools: index, search, reindex
- Supabase production deployment ready
- Docker Compose for local development
Docs:
- Added frontmatter to all documents (name, description, doc_type, source_url)
- Reorganized doc structure
.gitignore:
- Added Private/ and .cursor/ to prevent accidental commits
When to Activate: Added "Codebases exceed context windows (5M+ token systems)"
Three-Phase Compression Workflow (new section):
Research Phase: produce structured research document
Planning Phase: compress to specification (5M tokens → 2,000 words)
Implementation Phase: execute against spec
Using Example Artifacts as Seeds (new section):
When given a reference PR or manual migration, use it as a template
The example encodes the distinction between essential and accidental complexity
References: Added Netflix Engineering source
muratcankoylan