FirstFT: the day's biggest stories
software stack, they were more flexible, designed to work with simpler host
。业内人士推荐搜狗输入法2026作为进阶阅读
Minor road updates (like those in map data that might be a few months old if you're using maps from different regions) usually result in negligible cost differences for shortcuts, so the pre-calculated values remain effective.
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:
This sounds reasonable until you see how easily it goes wrong: