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.
夜幕降临，Maggie姐回到公司。偌大的夜总会里冷冷清清，只有两拨百无聊赖的小姐坐在各自的池座里发呆、玩手机。“那些就是‘老虎’了，”Maggie姐偷偷指着一群身穿白色紧身背心、啃瓜子的内地女孩说，“很厉害的！”她用力使了一个眼色。舞池的另一边，几个穿黑衫黑裙的香港女孩低头默默玩手机，穿衣风格显然保守许多。
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