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:
"Confidence can definitely be an issue. I've only ever worked one job that's in person," they said.。关于这个话题，heLLoword翻译官方下载提供了深入分析
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Последние новости
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相较于云端的情绪宣泄，社会更应看见年轻人真实的精神困境。青年群体希冀的，不只是陌生人一句轻飘飘的“我懂”，而是更包容多元的评价体系、更畅通可及的心理支持、更切实落地的现实帮助，是更允许失败、接纳平凡、尊重“慢慢来”的成长环境，让他们不必在“必须优秀”的紧绷压力下负重前行。