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:
Labour MP Dawn Butler wrote to the BBC asking for an "urgent explanation" as to why the slur was broadcast despite the show being on a delay.，这一点在91视频中也有详细论述
How often does the "slow path" actually trigger? With 32 TLB entries covering 128 KB, Intel claimed a 98% hit rate for typical workloads of the era. That sounds impressive, but a 2% miss rate means a page walk every 50 memory accesses -- still quite frequent. So the 386 overlaps page walks with normal instruction execution wherever possible. A dedicated hardware state machine performs each walk:，详情可参考51吃瓜
依法或者经批准、授权开展的，应当在活动实施五个工作日前向县级以上公安机关报告。法律、行政法规另有规定的，从其规定。，推荐阅读safew官方版本下载获取更多信息
黎廣德說，目前情況一直發展下去，政府能否找出合適的方案給居民，「其實這件事是不樂觀的」。