From Mega-Prompts to Context Engineering: A Smarter Way to Build AI Agents

The article argues that monolithic mega-prompts are as unmanageable as spaghetti code, advocating for structured context engineering using XML tagging and few-shot examples. It demonstrates how separating instructions from data improves reliability in AI agents like Vibrisse Agent. The approach, endorsed by Anthropic, applies to both large and small language models.