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:
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。
In rare cases chicken pox can cause a swelling of the brain, called encephalitis; an inflammation of the lungs, called pneumonitis; and stroke, which can result in hospitalisation and - very rarely - death.，更多细节参见im钱包官方下载
Read full article。业内人士推荐搜狗输入法2026作为进阶阅读
The real annoying thing about Opus 4.6/Codex 5.3 is that it’s impossible to publicly say “Opus 4.5 (and the models that came after it) are an order of magnitude better than coding LLMs released just months before it” without sounding like an AI hype booster clickbaiting, but it’s the counterintuitive truth to my personal frustration. I have been trying to break this damn model by giving it complex tasks that would take me months to do by myself despite my coding pedigree but Opus and Codex keep doing them correctly. On Hacker News I was accused of said clickbaiting when making a similar statement with accusations of “I haven’t had success with Opus 4.5 so you must be lying.” The remedy to this skepticism is to provide more evidence in addition to greater checks and balances, but what can you do if people refuse to believe your evidence?
[&:first-child]:overflow-hidden [&:first-child]:max-h-full"。safew官方版本下载对此有专业解读