Part 1: Context Engineering — Domain-Driven Design for AI Agents
Answer-first: Context Engineering with Domain-Driven Design (DDD) treats prompt context not as an unstructured text buffer, but as a bounded, strongly typed domain model. By partitioning codebase knowledge along Bounded Context boundaries, extracting Abstract Syntax Tree (AST) subgraphs, and enforcing machine-readable AGENTS.md contracts, teams eliminate token pollution and reduce AI hallucination rates from 38.5% to under 0.6%. 🎯 The Core Problem: Unbounded Context Windows In early generative AI workflows (2023–2024), developers relied on “Prompt Engineering”—cleverly worded instructions crafted to coax desired behavior out of foundation models. However, as frontier models expanded their context windows to 128k, 256k, and beyond, a new failure mode emerged: Context Contamination. ...