Context Engineering 101 for Software Engineers

System Design News's resource offers insights, tutorials, and resources for software architects and system designers. Readers can learn about system architecture patterns, scalability techniques, and design trade-offs. With articles, case studies, and best practices, System Design News provides  guidance and expertise for designing robust and scalable systems.

System Design Newsletter

Context engineering manages what information an AI model sees when generating responses. Unlike prompt engineering which focuses on phrasing, context engineering determines which data enters the limited context window at each step. Key components include system prompts, message history, examples, tools, and external data. For complex tasks, strategies include retrieval augmented generation (RAG), just-in-time retrieval, progressive disclosure, context compaction, structured note-taking, and sub-agent architectures. The goal is providing relevant information without overwhelming the model, especially important for multi-step agent workflows where context rot can bury critical details.

Context Engineering 101: How ChatGPT Stays on Track

Context is a system. Ours is the best. (Newsletter partner).

Stop stuffing the context window. (Newsletter partner).

Your codebase is bigger than your IDE. (Newsletter partner).