A Foreword on AGENTS.md#One aspect of agents I hadn’t researched but knew was necessary to getting good results from agents was the concept of the AGENTS.md file: a file which can control specific behaviors of the agents such as code formatting. If the file is present in the project root, the agent will automatically read the file and in theory obey all the rules within. This is analogous to system prompts for normal LLM calls and if you’ve been following my writing, I have an unhealthy addiction to highly nuanced system prompts with additional shenanigans such as ALL CAPS for increased adherence to more important rules (yes, that’s still effective). I could not find a good starting point for a Python-oriented AGENTS.md I liked, so I asked Opus 4.5 to make one:
Stronger-than-expected job gains in January could be a sign that hope is on the horizon for job seekers.
UK politics live – latest updates。WPS官方版本下载对此有专业解读
这种压力也延续到了第四季度。财报显示，在第四季度，瑞幸总净收入同比增长32.9%至127.77亿元，但净利润同比下滑39%至5.18亿元，GAAP营业利润率较2024年同期下滑4.1个百分点。净利润率从8.8%降至4.1%；非GAAP净利润6.99亿元，同比下滑25.5%。即便全年营业利润率维持在10.3%，但自营门店利润率从2024年的19.0%微降至17.8%，第四季度自营门店店级运营利润率更是从19.8%下滑至15.0%。
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For example, a 500km route might be broken down into ~100 such shortcuts. If each A* shortcut calculation explores 100-1000 detailed road segments, the total detailed segments visited by A* might be around 10,000-50,000. Compare this to the 1,000,000+ segments the old A* might have needed for the entire route!，更多细节参见同城约会
How could they work?