context-engineering

Context engineering for chat and agent systems - context window budgeting, deciding what to include, ordering and placement, conversation history trimming, summarisation and compaction, memory tiers (working, session, long-term), tool result truncation, prompt caching friendly layout, avoiding context rot and distraction, per-request context assembly in TypeScript, and measuring context quality. Load when a conversation grows long, an agent loses track or degrades, token cost or latency is high, or when designing how history, memory, tools and retrieved data are assembled into a prompt.