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Carson Gross
2026-02-27 14:47:27 -07:00
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commit e55662ef1a
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@@ -168,8 +168,8 @@ I also think that what this means varies by experience level.
Senior programmers who already have a lot of experience from the pre-AI era are in a good spot to use LLMs effectively:
they know what "good" code looks like, they have experience with building larger systems and know what matters and
what doesn't. The danger with senior programmers is that they stop programming entirely and start suffering from brain
rot.
what doesn't. The danger with senior programmers is that they stop programming entirely and start suffering from
[brain rot](https://www.media.mit.edu/publications/your-brain-on-chatgpt/).
Particularly dangerous is firing off prompts and then getting sucked into
[The Eternal Scroll](https://theneverendingstory.fandom.com/wiki/The_Nothing) while waiting.
@@ -181,7 +181,7 @@ I typically try to use LLMs in the following way:
* To analyze existing code to better understand it and find issues and inconsistencies in it
* To help organize my thoughts for larger projects I want to take on
* To generate relatively small bits of code for systems I am working on
* To generate code that I don't enjoy writing (regular expressions & CSS)
* To generate code that I don't enjoy writing (e.g. regular expressions & CSS)
* To generate demos/exploratory code that I am willing to throw away or don't intend to maintain deeply
* To suggest tests for a particular feature I am working on