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.
Terminal applications have a “cursor” that they can move around, just like a text editor. You can tell that cursor “go to line 3, delete everything, then print out this new text” by using VT100 sequences. And you can use it to replace existing characters with new ones, without re-emitting a whole line.
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尖东曾经象征香港夜经济的野心：高消费、强仪式、重面子、重场面。上世纪八九十年代，随着香港经济高速增长和消费模式的转变，日式夜总会成为夜经济最重要的形态之一。尖东一带大规模夜总会聚集，装潢奢华、等级分明、消费高昂，名流、富豪、商界人物频繁出入。夜总会在很长时间里承担着一种特殊的城市功能：它是商业社会的“非正式中枢”。
Последние новости，详情可参考heLLoword翻译官方下载