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> It's 2025 and it's faster for me to have ChatGPT or Cursor whip up a dependency free implementation of these common functions

I sort of stumbled upon this myself and am coming around to this viewpoint. Especially after dependency hell of a big react app.

And there's also the saas/3rd party services dependencies to consider. Many of them are common patterns and already solved problems that LLMs can clone quickly.

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I’ve definitely become much more likely to start with small internal utility functions implemented by AI before adding a library than I would have been in the past—it’s quite effective for contained problems, I can have the AI write much more complete/robust implementations than I would myself, and if I do eventually decide to add a library I have a natural encapsulation: I can change the implementation of my own functions to use the library without necessarily having to touch everywhere it’s being used. Makes it easy to test a couple of different libraries as well, when the time comes.

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