Context engineering explained: What every AI developer should know
Context engineering Prompt engineering Llm optimization Ai agents Context window management Google cloud ai Agent reliability Context management Llm context Token optimization Rag retrieval Context stack Agent failures
Google Cloud's Smitha Kolan explains context engineering as the discipline of curating high-signal information for AI agents rather than stuffing context windows. The video provides a practical 4-step framework (Write, Select, Compress, Isolate), details the 7 components of a context stack, and analyzes 4 common agent failure modes (poisoning, distraction, confusion, clash). Includes a realistic LogLook agent example. For AI developers building production agents who want to improve reliability and reduce errors.
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