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:
When asked about claims that her mother had hit her, abused her and neglected her, Kaley said “she wasn’t perfect, but she was trying her best,” and clarified that she doesn’t think she would label her mother’s past actions as abuse or neglect today.
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