Continue reading...
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.。关于这个话题，safew官方下载提供了深入分析
，这一点在WPS官方版本下载中也有详细论述
Be the first to know!。业内人士推荐夫子作为进阶阅读
Standing there, I was suddenly transported back to Italy: the smell of tomatoes simmering in the kitchen, the warmth of the sun, the rhythm of daily life centered around simple, beautiful ingredients. Pasta wasn’t complicated. It was pure, intentional and full of flavor. I realized that what was missing in that aisle wasn’t just quality — it was that feeling.