Context Engineering for Coding Agents

The article surveys the fast-emerging practice of “context engineering” for coding agents, using Claude Code as the primary example. It outlines how developers can shape an agent’s awareness of a codebase and task—through workspace indexing and retrieval, selective file/context inclusion, persistent and ephemeral memory, and tool/environment hooks—and explains the trade-offs around relevance, latency, cost, and privacy. It also highlights how different assistants expose these controls and offers pragmatic guidance on debugging context issues, choosing and combining context sources, and standardizing configurations across a team.

How are you currently configuring your coding agent’s context, and which context sources (e.g., repo/indexed search, pinned files, memory, tool/runtime access) have had the biggest impact on code quality and speed?