AI Engineering
Context Engineering: The Most Important Skill of 2026
How to systematically design and manage the information you feed to LLMs, from token budgets to retrieval strategies to prompt structure.
Akhil Sharma
January 5, 2026
10 min read
Context WindowsPrompt EngineeringLLMRAG
More in AI Engineering
Building Reliable LLM Evaluation Pipelines
How to evaluate LLM outputs systematically with automated metrics, LLM-as-judge, human review, and CI/CD integration for prompt regression testing.
Prompt Caching Strategies That Cut Your LLM Costs in Half
Practical caching strategies for LLM applications — from exact match to semantic similarity caching to provider-level prefix caching — with real cost/latency numbers.