Show HN: How context engineering works, a runnable reference
Summary
The repository presents context engineering as a structured, runnable reference for integrating and governing AI outputs. It outlines a five-component framework (Corpus, Retrieval, Injection, Output, Enforcement) and provides runnable examples using Bedrock with Claude, aiming to align AI outputs with local patterns and governance while illustrating organizational impact.