Context Studios

Prompt Engineering

All articles about Prompt Engineering

From Mode Collapse to Context Engineering: How We Build Reliable AI Systems (2026)

From Mode Collapse to Context Engineering: How We Build Reliable AI Systems (2026)

Two fundamental challenges define LLM development in 2026: Mode Collapse reduces output diversity through alignment training, while Context Rot degrades model performance as context windows grow. This article analyzes both phenomena and presents practical solutions like Verbalized Sampling and systematic Context Engineering.

Context Engineering: How to Build Reliable LLM Systems by Designing the Context

Context Engineering: How to Build Reliable LLM Systems by Designing the Context

Context engineering is the discipline of curating, structuring, and defending everything that reaches the LLM at inference time. This comprehensive guide covers 2026 best practices for building reliable AI systems.