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.
Report: Breaking Free
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Раскрыты подробности похищения ребенка в Смоленске09:27。关于这个话题，Line官方版本下载提供了深入分析
（二）在边远、水上、交通不便地区，旅客列车上或者口岸，公安机关及其人民警察依照本法的规定作出罚款决定后，被处罚人到指定的银行或者通过电子支付系统缴纳罚款确有困难，经被处罚人提出的；。关于这个话题，同城约会提供了深入分析
Model Personalities→Sonnet 4.5: ConventionalRedis 93% (Python caching), Prisma 79% (JS ORM), Celery 100% (Python jobs). Picks established tools.