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.
魅族AR眼镜已与投资机构达成实质进展，近期有望完成融资｜独家，推荐阅读heLLoword翻译官方下载获取更多信息
https://feedx.net。关于这个话题，爱思助手下载最新版本提供了深入分析
В России спрогнозировали стабильное изменение цен на топливо14:55，详情可参考搜狗输入法下载
但「应用少」只是结果，不是原因。真正的问题在于：开发者为什么不愿意来？从工具层面看，其实挑不出太多毛病。Visual Studio + C# 的开发体验成熟稳定，单纯从工程角度，它算得上开发者友好。问题出在回报预期。