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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.,详情可参考一键获取谷歌浏览器下载

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BuildKit gives you a content-addressable, parallelized, cached build engine for free. You don’t need to reinvent caching, parallelism, or reproducibility. You write a frontend that translates your spec into LLB, and BuildKit handles the rest.。safew官方下载是该领域的重要参考

The Sentry intercepts syscalls using one of several mechanisms, such as seccomp traps or KVM, with the default since 2023 being the seccomp-trap approach known as systrap.。heLLoword翻译官方下载是该领域的重要参考

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