In many ways, coding represents the ideal use case for AI, both in terms of what the technology can do and how readily the enterprise market will embrace it. Code is data dense, meaning there is a massive amount of high-quality code available online for the models to train on.
编程被视为AI的理想应用场景，这揭示了AI成功应用的关键要素：高质量训练数据可用性、任务结构化程度、输出可验证性。这一洞见不仅解释了为什么编程辅助工具率先取得突破，也为其他领域的AI应用提供了成功模式参考，暗示未来AI在其他数据丰富、结构化程度高的领域可能取得类似成功。