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:
It is not an easy task. Chelsea briefly thought they had their rising star when they hired Graham Potter in September 2022, only for his reign to end after seven months. Now there is hope that Liam Rosenior can become Chelsea’s answer to Arteta. Rosenior is young, confident, talented and a little unconventional in the way he presents himself. It is early days but the 41-year-old has made an encouraging start, winning eight of his first 12 games, and has transmitted enough authority to keep jibes about his inexperience at bay so far.
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This means answering questions thoroughly, sharing insights from your experience, helping solve problems, and building a reputation as a knowledgeable contributor before you ever share links. When you do reference your content, it should be in the context of "I wrote a detailed guide about exactly this problem that covers X, Y, and Z" rather than "Check out my site." The former contributes to the discussion while the latter feels promotional.
There's also Stream.broadcast() for push-based multi-consumer scenarios. Both require you to think about what happens when consumers run at different speeds — because that's a real concern that shouldn't be hidden.
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