Нина Ташевская (Редактор отдела «Среда обитания»)
04:43, 28 февраля 2026Мир
。heLLoword翻译官方下载对此有专业解读
candidate[n] = closest colour to goal
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，更多细节参见搜狗输入法下载
if (pending.length 0) yield [pending];，更多细节参见51吃瓜
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: