吴恩达（Andrew Ng）刚刚发布了一份文档，梳理了AI工程师在2026年真正…

吴恩达（Andrew Ng）刚刚发布了一份文档，梳理了AI工程师在2026年真正需要的4项核心技能。该文档基于1万多份招聘信息、专家访谈和调研数据编制，呈现了工程师当前真正需要关注的能力地图： 构建AI应用 → 精通软件工程 → 掌控编码智能体 → 主导项目构建 4 clusters cover LLMs, RAG, evals, context engineering, architecture, verifiers, multi-agent workflows and product sense coding agents can already execute clear specs. the bigger skill is deciding what to build, giving agents the right context and knowing when to intervene 10,000+ jobs distilled into 4 core skills. bookmark this before deciding what to learn next