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AI Syllabus Module
Module 1.2: Context Engineering
Manage context window capacities, chat history trimming, sliding window states, and RAG query packing.
Lessons & Submodules
What is a Context Window?
Explore model memory capacities, input/output limits, and token budgets.
Context Budget Management
Learn chat history growth, system prompt overheads, and token constraints.
Prompt Trimming & Memory
Implement sliding windows, summarization memory, and truncation logics.
Sliding Window Conversation State
Manage dynamic conversation histories using sliding token limits.
Context Overflow Failure Modes
Debug context window overflow errors and build automatic repair gates.
Context Engineering in Interviews
Answering context limits and search scaling questions in live technical panels.
Key Skills
- •Design sliding context window algorithms in TypeScript
- •Calculate prompt token limits dynamically prior to API invocations
Interview Value
- How do you manage chat context limits in a production support bot that operates over multi-hour conversations?