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.
Author(s): W. Tanner Yorgason, Andrea M. Jokisaari, Christopher L. Muhich
。WPS官方版本下载是该领域的重要参考
今年夏天，小天才官方更新的个人主页功能，曾让不少人看到“破局”的希望：点赞数改为运动赞，需走满步数才能互动，还新增了一键点赞多人的设计。有圈内“大佬”直言，“感觉‘bot’要成历史了”。，更多细节参见safew官方版本下载
Bridging the gap between this and web streams