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.
Continue reading...。服务器推荐是该领域的重要参考
一首《念奴娇·追思焦裕禄》传诵至今，“百姓谁不爱好官？把泪焦桐成雨”，诉不尽鱼水深情的千钧分量；而民间那句俗语——“当官不为民做主，不如回家卖红薯”，又如一记警钟，时常敲在广大党员干部的心头。。业内人士推荐雷电模拟器官方版本下载作为进阶阅读
devices). So, the ATM behaved the same way.