Large Language Model (LLM) Talk
Context Engineering
21 January 2026 13:58 AI-Talk
Listen to episode
About this episode
Context engineering is the system-level discipline of architecting the dynamic information environment for AI models. Unlike prompt engineering, which focuses on phrasing specific instructions, context engineering programmatically assembles the model's "working memory" using retrieved data, tool outputs, and conversation history. It employs strategies like selection, compression, and ordering to manage token limits and prevent "context rot." By orchestrating how information is filtered and presented at runtime, context engineering ensures LLMs remain grounded and reliable for complex, long-horizon tasks, effectively serving as the operating system for agentic AI.
More AI podcast episodes
Browse all →Want to find AI jobs?
Join thousands of AI professionals finding their next opportunity