Series 1: Understanding Context Engineering
This series introduces the revolutionary concept of context engineering as the evolution beyond traditional prompt engineering.
Articles in This Series
- Article 51: Context Engineering vs. Prompt Engineering: The Paradigm Shift
- Article 52: The Six Context Channels That Impact Performance
- Article 53: Context Window Management: Working Memory for LLMs
- Article 54: Context Compression Techniques and Strategies
- Article 55: Building Effective Agent Memory Systems
Series Overview
This series establishes the foundation for understanding context engineering, a paradigm shift that goes beyond traditional prompt engineering to encompass comprehensive context management and optimization.
Learning Objectives
By the end of this series, you will:
- Understand the paradigm shift from prompt to context engineering
- Know the six context channels that impact performance
- Master context window management techniques
- Understand context compression strategies
- Be able to build effective agent memory systems
Prerequisites
- Completion of Chapter 3: Advanced Prompting Techniques
- Strong understanding of LLM architecture and limitations
- Experience with complex AI applications