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About this interview
A technical interview on Context Engineering, pitched at the medium level. A voice AI interviewer leads the conversation, adapts its questions to your answers, keeps you on topic, and afterward gives you honest, specific feedback on where you were strong and where to improve. Expect roughly 30 minutes.
What you'll be assessed on
Differentiate context engineering from prompt engineering: dynamic management versus static instructions
Enumerate the context types an agent must juggle: instructions, knowledge, tool results, conversation history, user preferences
Apply strategies for writing, selecting, compressing, and isolating context to fit the context window
Recognize the four context failure modes — poisoning, distraction, confusion, clash — and their mitigations
Topics covered
Context vs Prompt EngineeringTypes of ContextContext Window ConstraintsContext GrowthProduction Context ManagementContext PlanningContext PipelinesAgent ScratchpadMemory vs ScratchpadContext CompressionContext PoisoningContext DistractionContext ConfusionContext Clash
A few sample questions
Just examples to set expectations - the real interview has many more and adapts to your responses.
“How would you describe context engineering to someone who is already comfortable with prompt engineering? What makes them different?
“What is context distraction and how does it differ from simply running out of context window space?
“How would you decide which user preference information is worth persisting to long-term memory versus keeping only within the current session?