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.
Последние новости，推荐阅读下载安装汽水音乐获取更多信息
Медведев вышел в финал турнира в Дубае17:59。快连下载-Letsvpn下载是该领域的重要参考
若把“尝鲜”放在今天的城北，也许无人问津，可放在城南，反而像是踩中了某种新的节奏。，这一点在Safew下载中也有详细论述
在智能手机——尤其是直板机——已经连续四五年「卷充电」、「卷影像」、「卷跑分」和「卷流畅」之后，S26 Ultra 这块防窥屏幕称得上是近年来第一个可感的硬件底层创新。