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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// 第一步：倒序遍历nums2，用单调栈计算每个元素的下一个更大值
寒武纪业绩快报：2025年营业收入64.97亿元，同比增长453.21%。关于这个话题，heLLoword翻译官方下载提供了深入分析
Mass die-offs rising among farmed salmon
"It's been investigated for many years," says Read, acknowledging that elastomers have yet to revolutionise actuator tech. "Often with these technologies, you have to keep pushing."，详情可参考快连下载安装