Understand what context is, why it matters, and the anatomy of context in agent systems
Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash
Design and evaluate compression strategies for long-running sessions
Apply compaction, masking, and caching strategies
Master orchestrator, peer-to-peer, and hierarchical multi-agent architectures
Design short-term, long-term, and graph-based memory architectures
Build tools that agents can use effectively, including architectural reduction patterns
Build evaluation frameworks for agent systems