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.
产品本身获得了更多小镇青年的喜欢之外，基础建设的日渐完善，则成为了强有力助攻。数据显示，截至2024年，全国县域公共充电桩数量已达到43.77万台，在全国占比达13.16%。
。搜狗输入法2026是该领域的重要参考
Bandwidth: My early code used a shocking amount of bandwidth，这一点在夫子中也有详细论述
- Robert Nagy, Node.js TSC member and Node.js streams contributor
厦门的年夜饭市场火爆。这道“龙腾四海小青龙”的龙虾头被固定在盘中，被家人们调侃为“老演员”，还要留给下一桌用。南方周末记者 黄思琪/摄