A new approach to Context Engineering uses agentic search to dynamically refine prompts. Instead of static retrieval, the system iteratively queries data to optimize the model's working memory. This reduces noise in long-context windows. Developers can now automate the curation of relevant snippets, improving accuracy for complex, multi-step reasoning tasks.