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:
By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.
，推荐阅读雷电模拟器官方版本下载获取更多信息
We benchmarked native WebStream pipeThrough at 630 MB/s for 1KB chunks. Node.js pipeline() with the same passthrough transform: ~7,900 MB/s. That is a 12x gap, and the difference is almost entirely Promise and object allocation overhead."。业内人士推荐heLLoword翻译官方下载作为进阶阅读
Что думаешь? Оцени!