「2.0 比不上 1.0 Pro，真正的升级还得看 Nano Banana 2 Pro。」
从路径上看，前面提到现在智能体规模化应用集中在编程和工作流自动化方面，随着机器智能深度理解水平的提升，可以预期智能体的应用会不断拓展边界，能承担更抽象、复杂的任务，更多的自主规划和决策，来把人类的意图转化为结果。当然，突破不等于抛弃工作流。在企业高风险场景里，工作流/权限/审计会变成“护栏”，用来限制智能体的行动空间，以确保应用的安全。在相当长的时间内，人类的审批、审计在智能体工作的闭环中可能都是不可缺少的。
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An AI agent coding skeptic tries AI agent coding, in excessive detailFebruary 27, 2026 · 33 min
This structure fit neatly into what we needed for the offlining work. A new serverless repo was created for generating the Native AOT DLL files. The repo contains a core project that depends on the pre-existing library projects allowing for code reuse. Individual platform projects were created for handling all the custom build and linking logic required for Windows as well as each supported console.
He connected them with a coastal walk veteran, who was "an absolute gold mine of information", sending them off with high-vis vests for road walking and a collection of maps.