An agent is only as good as the context it is given. Context engineering is the discipline of capturing the conventions, architecture decisions, contracts, examples and constraints an agent needs — once, in shared, versioned artefacts (such as AGENTS.md) baked into templates — rather than re-prompted by each developer from scratch.
It is becoming a foundational architectural concern: the primary asset of an AI-native organisation is increasingly its context layer, not its codebase. Depth: Context Engineering: Context Is the New Architecture and The Memory Hierarchy of an Agentic Team: Choosing Between Convention Files, Retrieval, Graphs and Fine-Tuning.