Context Engineering for Agentic Systems
Context engineering for AI agents: source routing, retrieval scopes, tool results, memory, compression, freshness, and approval-aware context.
May 212 min read
Field guides for agent workflows, MCP tooling, evals, production handoffs, and the architecture behind software that actually ships.