discipline was immature.
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It's a shame, because DTF St. Louis is full of some genuinely funny moments, from a suspicious smoothie rendezvous to a whispered discussion at the Outback Steakhouse urinals about using DTF St. Louis. Peak loser behavior! I wish DTF St. Louis leaned further into that angle, but in the end, its underwhelming, nonchronological mystery approach wins out.,推荐阅读雷电模拟器官方版本下载获取更多信息
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:。关于这个话题,safew官方版本下载提供了深入分析