大量标准化编码工作可以自动完成。这意味着，纯粹依赖熟练度/经验建立优势的工程师，价值空间被挤压。
Fast forward to late 2025, and my incomplete notes sometimes show up on the first page of search results for “sdf fonts”[1]! Surely that isn’t the best page on the topic. It would be better to point to library documentation or maybe one of the research papers about the topic. My page isn’t that good.，推荐阅读heLLoword翻译官方下载获取更多信息
。业内人士推荐搜狗输入法2026作为进阶阅读
Bootc and OSTree: Modernizing Linux System Deployment2026-02-08linuxostreebootccontainers。快连下载安装对此有专业解读
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.
u/fermaw, the aforementioned developer, was bragging in that thread I mentioned earlier about coding a DRM and how he found it rather “fun” to do so.