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%.

Part 3A: Advanced Context Engineering — Modular Cursor Rules & AGENTS.md

Answer-first: Advanced Context Engineering moves beyond monolithic system prompts by organizing constraints into modular, glob-scoped .cursor/rules/*.mdc files and standardized AGENTS.md contracts. By binding rules dynamically to active file patterns and capitalizing on prefix prompt caching (achieving a 90% latency and cost reduction), teams provide coding agents with razor-sharp focus while preventing context window pollution. 📖 Bản tiếng Việt (Vietnamese Edition) | ← Series Hub | Next Chapter: Part 3A: Enterprise RAG Architecture → ...