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.
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Speaking of, split boards break the keys into two separate parts you can position individually. You can put them shoulder distance apart, bring them closer together or angle them as much as feels comfortable. You can also put your mouse between the halves, which may feel like an easier trip for your cursor hand and could potentially help with conditions like repetitive strain injuries (RSI). Personally, I like being able to put my current snack between the two parts. I've also found that pairing a split keyboard with a good ergonomic mouse has helped me even more, particularly a vertical mouse.。业内人士推荐下载安装 谷歌浏览器 开启极速安全的 上网之旅。作为进阶阅读
蚀刻宽度过大，正面屏幕观感就会受到影响，导致屏幕亮度腰斩、画面模糊、出现摩尔纹等等问题。，更多细节参见同城约会