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:
Employees did not have to take a cut in salary, and nor did they have to work longer hours on the four days. Instead, their hours remain at 32-per-week, or eight-per-day.
。关于这个话题，51吃瓜提供了深入分析
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
Making the announcement, Mills said "a Scottish crowd is the best crowd."
人形智能体Unitree G1身高约132厘米，全身拥有23-43个关节电机，具备超大运动角度空间，可完成动态站起、舞棍等高难度动作，并能通过深度强化学习持续进化。具身智能新物种Unitree Go2则配备自研4D超广角激光雷达，在大模型赋能下大幅提升环境理解与决策能力；其关节峰值扭矩达45N.m，支持跳跃、倒立等丰富姿态。