Argentine fossil rewrites evolutionary history of a baffling dinosaur clade

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Figures out which content provides the best performance

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:

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For many developers, the point isn’t to see these massive projects in a finished state but to complete the next task and hopefully bring the team closer to the next release.

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