一文彻底搞懂深度学习和机器学习的区别！
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:。快连下载-Letsvpn下载对此有专业解读
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黎智英欺詐案上訴得直：定罪及刑罰被撤銷，出獄時間提前
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As a final tweak, I moved from 8 bit ansi colors like \x1b[38:5:161m to 4 bit colors like \x1b[31m. This restricts our color range, but it saves something like 6 bytes per color.