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.
The converter supports all model types via the --model flag:
。业内人士推荐搜狗输入法2026作为进阶阅读
对待过去，新官要理旧账；面向未来，甘于“栽树”“铺路”；着眼全局，树牢“一盘棋”意识……每个人都要跑好属于自己的“这一棒”，“当好中国式现代化建设的坚定行动派、实干家”。，推荐阅读雷电模拟器官方版本下载获取更多信息
俄罗斯、英国、日本、东南亚的客人们，会自带翻译前来了解。。heLLoword翻译官方下载对此有专业解读