I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
第八十八条 违反关于社会生活噪声污染防治的法律法规规定，产生社会生活噪声，经基层群众性自治组织、业主委员会、物业服务人、有关部门依法劝阻、调解和处理未能制止，继续干扰他人正常生活、工作和学习的，处五日以下拘留或者一千元以下罚款；情节严重的，处五日以上十日以下拘留，可以并处一千元以下罚款。
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Best gaming monitors in 2026: the pixel-perfect panels I'd buy myself，详情可参考快连下载-Letsvpn下载
A notable resource on the topic of ordered dithering using arbitrary palettes is Joel Yliluoma’s Arbitrary-Palette Positional Dithering Algorithm. One key difference of Yliluoma’s approach is in the use of error metrics beyond the minimisation of . Yliluoma notes that the perceptual or psychovisual quality of the dither must be taken into account in addition to its mathematical accuracy. This is determined by use of some cost function which considers the relationship between a set of candidate colours. The number of candidates, the particular cost function, and the thoroughness of the selection process itself give rise to a number of possible implementations, each offering varying degrees of quality and time complexity.，更多细节参见搜狗输入法2026