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:
In more recent times, Hollywood and romance novels have sold us fairy tale love stories.
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Google’s existing app review processes have been criticized for opaque decision-making, inconsistent enforcement, and limited appeal mechanisms. Extending this system to all Android certified devices creates risks of:
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Under the new API design, transforms should not perform any work until the data is being consumed. This is a fundamental principle.
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