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.
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消费者反馈也证实了这一点，社交平台上，容易跑杯、不固定、胸垫总往上跑、大胸不友好……这些高频出现的差评，无情地指向了无尺码模式的核心矛盾：身体形态的多样性，与产品标准化之间的天然冲突。，详情可参考服务器推荐
第八条 国家加强原子能科学知识和法律知识的宣传教育，鼓励有条件的地方人民政府、核设施营运单位以及其他有关单位建设和利用科普场馆、设施，开展原子能科学知识普及活动。
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