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.
p->scavange++;
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That’s the basis of our custom renderer - we diff each cell and only print changed characters. Here’s the same example from above - but now we just patch the 6 changed cells.
The group originated in the Pokémon anime's first season, where a gang of delinquent Squirtle wore black shades and caused trouble before eventually joining Ash's team. Their leader — permanently stoic behind his tiny sunglasses — quickly became a fan favorite, embodying a kind of effortless, miniature swagger.
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前方缓行、邻道加塞，这都是拥堵时常见的路况，自适应巡航功能可以让驾驶员双腿放松，只需集中精力随时准备接管即可。。关于这个话题，搜狗输入法2026提供了深入分析
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