Hyperlinks as a Solution to Context Engineering Challenges in Large Language Models

Summary

The article discusses context engineering for Large Language Models (LLMs), highlighting key limitations such as the need for append-only conversations for cacheability, models' preference for fresh context near the end of the window, and performance degradation with excessive context. It introduces the central tension: models require access to all valuable context but only when relevant to the task. The article argues that hyperlinks, as a fundamental web technology, offer an elegant solution to this problem by enabling dynamic, intent-based navigation through context, allowing models to access information on-demand rather than loading everything upfront.