📄 中文摘要
随着技术领域对“提示工程”的关注不断增加，开发者们开始意识到，仅仅依靠有效的提示并不足以充分利用 AI 模型的潜力。提示工程虽然是一个重要的技能，但它只是构建生产级 AI 应用的第一步。开发者需要超越单一的提示接口，探索更全面的工具、模式和架构，以实现与 AI 模型的深度集成。这一指南旨在帮助开发者从随意实验转向系统化的应用开发，推动 AI 技术的实际应用。
AI 工程师工具包：超越提示工程构建稳健的 AI 应用
📄 English Summary
The AI Engineer's Toolkit: Moving Beyond Prompt Engineering to Build Robust AI Applications
The surge of interest in 'prompt engineering' within the tech community highlights the importance of effective communication with AI models. However, mastering prompts is merely the initial phase of a broader journey. The focus should shift from simply interacting with AI to building robust applications that leverage these technologies. This guide aims to assist developers in transitioning from casual experimentation to the construction of production-ready AI applications. It emphasizes the need to go beyond single-prompt interfaces and delve into essential tools, patterns, and architectures for deeper integration with AI models.