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Introduction#For several years, I’ve been looking to manage my system configuration “As-code” to ensure reproducibility and consistency across my environments. The primary goal was to install my work laptop, but I also need to install Linux servers (without Kubernetes, so Talos isn’t an option).

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India’s Ministry of Electronics and IT, as well as telecom providers including ACT Fibernet, Bharti Airtel, and Reliance Jio, did not respond to requests for comment. Copplestone and Wilson also did not respond.

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.

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Cgroups: accounting is not securityCgroups (control groups) limit and account for resource usage: CPU, memory, disk I/O, number of processes. They prevent a container from consuming all available memory or spinning up thousands of processes.,详情可参考爱思助手下载最新版本

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