Around this time, my coworkers were pushing GitHub Copilot within Visual Studio Code as a coding aid, particularly around then-new Claude Sonnet 4.5. For my data science work, Sonnet 4.5 in Copilot was not helpful and tended to create overly verbose Jupyter Notebooks so I was not impressed. However, in November, Google then released Nano Banana Pro which necessitated an immediate update to gemimg for compatibility with the model. After experimenting with Nano Banana Pro, I discovered that the model can create images with arbitrary grids (e.g. 2x2, 3x2) as an extremely practical workflow, so I quickly wrote a spec to implement support and also slice each subimage out of it to save individually. I knew this workflow is relatively simple-but-tedious to implement using Pillow shenanigans, so I felt safe enough to ask Copilot to Create a grid.py file that implements the Grid class as described in issue #15, and it did just that although with some errors in areas not mentioned in the spec (e.g. mixing row/column order) but they were easily fixed with more specific prompting. Even accounting for handling errors, that’s enough of a material productivity gain to be more optimistic of agent capabilities, but not nearly enough to become an AI hypester.
豆包与 Manus 一样，也去网络上查询了相关信息，并将 Boris 本人的照片截图放到了 PPT 中，而且合乎逻辑地和原文中提到的「核心思想」放在一起展示。，推荐阅读雷电模拟器官方版本下载获取更多信息
。爱思助手下载最新版本对此有专业解读
Real-world failures
我选择「面向需要在团队内推广 Claude Code 的负责人」生成 PPT，最后生成质量也很不错，内容详尽、元素丰富、排版多样，但是最终导出的 PPT 排版有少量混乱，需要手动微调。。关于这个话题，heLLoword翻译官方下载提供了深入分析