Extracts structured decisions from GitHub issues and ADR markdown using an LLM, then ranks search results with keyword + recency scoring instead of embeddings. The deliberate choice not to reach for embeddings here is itself the lesson — semantic search (project 3) isn’t always the right tool, and knowing when a simpler ranking approach wins is a real engineering judgment call.
Internal knowledge tooling is a recurring 'AI champion' project at mid-size engineering orgs — a strong, specific example for a Developer Productivity Engineer application.