Functional dissection of complex trait variants at single-nucleotide resolution

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return (PAGESZ - sizeof(struct page_info)) / sizes[classno];

Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.

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1. You prefer Google's cleaner approach to software One of the biggest distinctions between the Google Pixel and just about every other Android model is the software experience. I wouldn't categorize the latest Pixel launcher, on Android 16, as bare-bones, but it's certainly less intrusive and feature-packed than Samsung's OneUI. There's a handful of customization tools for the home and lock screens, but don't expect to tweak every little aspect of what you see.

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