📄 中文摘要
在人工智能领域，许多开发者感到“学习人工智能”的建议既模糊又压倒性。AI技术发展迅速，但真正的问题在于大多数建议将所有工程角色视为相同。数据显示，84%的开发者正在使用或计划使用AI编码工具，88%的组织在至少一个业务功能中使用AI。然而，不同角色面临的AI挑战截然不同，例如安全工程师、数据工程师和质量保证负责人所需的技能和知识各不相同。通用课程和证书无法满足这些特定角色的需求，因此需要针对不同软件领域的专业化学习路径。
停止学习人工智能 — 开始升级你的角色：每个软件领域的指南
📄 English Summary
Stop Learning AI — Start Upgrading YOUR Role: A Guide for Every Software Discipline
Many developers find the advice to 'learn AI' overwhelming and vague. The rapid advancement of AI technology presents challenges that vary significantly across different engineering roles. While 84% of developers are currently using or planning to use AI coding tools, and 88% of organizations employ AI in at least one business function, the reality is that not everyone has mastered these tools. The AI landscape for a security engineer is vastly different from that of a data engineer or a QA lead. Generic courses and certifications fail to address the specific needs of these diverse roles, highlighting the necessity for specialized learning paths tailored to each software discipline.