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.
// Fill with sequential bytes (our "data source")
。快连下载安装是该领域的重要参考
Карина Черных (Редактор отдела «Ценности»)
Novo Nordisk said that anyone experiencing side effects is advised to report it to a healthcare provider, as well as to the MHRA's Yellow Card scheme, which is designed to help the agency discover safety issues as soon as possible.，更多细节参见下载安装 谷歌浏览器 开启极速安全的 上网之旅。
html = self.http_client.get(url)，详情可参考一键获取谷歌浏览器下载
我们这里生成了多张国内城市的窗外照片，天气、风景和你所在的地方是一样吗。