#context-engineering
5 items
Context Engineering Is an Infrastructure Problem, Not a Prompting Problem
Prompt engineering asked what words to use. Context engineering asks what the model needs to know and how to keep that knowledge accurate over time. The difference is architectural.
Context Rot: How Long-Running Agents Lose Their Mind
Reasoning accuracy decays exponentially with accumulated contradictions. Research in 2026 formalized this as a survival equation — and named the fix: asynchronous contradiction metabolism.
Context Stuffing: The Anti-Pattern Killing Enterprise Agents
Larger context windows made context stuffing worse, not better. The LOCOMO benchmark data on why selective injection outperforms full-context on accuracy, latency, and cost simultaneously.
Context Engineering
The discipline of managing what an AI agent knows at the moment of inference — moving beyond prompt craft to knowledge architecture, token economics, and contradiction-free memory.
AI Agent Memory
How agents remember — from stateless RAG to graph memory, context rot, and the engineering discipline required to keep a long-running agent grounded in reality.