Part 2: Context Engineering — Structuring Codebases for Maximum AI Precision
← Previous Chapter: Part 1: Vibe Coding for Leaders | Series Hub | Next Chapter: Part 3: The AI Bug Taxonomy → Answer-first: Context Engineering is the discipline of feeding LLMs the minimum necessary, highest-signal information. Splitting monolithic prompt rules into scoped glob-matched .cursorrules (e.g. domain/**/*.ts) cuts AI context contamination by 85%.