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by makingstuffs 255 days ago
> and it adds _some_ value by thinking of edge cases I might’ve missed, best practices I’m unaware of, and writing better grammar than I do.

This is my most consistent experience. It is great at catching the little silly things we do as humans. As such I have found them to be most useful as PR reviewers which you take with a pinch of salt
1 comments
cube00 255 days ago
> It is great at catching the little silly things we do as humans.

It's great, some of the time, the great draw of computing was that it would always catch the silly things we do as humans.

If it didn't we'd change the change code and the next time (and forever onward) it would catch that case too.

Now we're playing wack-a-mole and pleading with words like "CRITICAL" and bold text to our in .cursorrules to try and make the LLM pay attention, maybe it works today, might not work tomorrow.

Meanwhile the C-suite pushing these tools onto us still happily blame the developers when there's a problem.

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skydhash 255 days ago
> It's great, some of the time, the great draw of computing was that it would always catch the silly things we do as humans.

People are saying that you should write a thesis-length file of rules, and they’re the same people balking at programming language syntax and formalism. Tools like linters, test runners, compilers are reliable in a sense that you know exactly where the guardrails are and where to focus mentally to solve an issue.

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cube00 254 days ago
This repo [1] is a brilliant illustration of the copium going into this.

Third line of the Claude prompt [2]:

IMPORTANT: You must NEVER generate or guess URLs for the user - Who knew solving LLM hallucinations was just that easy?

IMPORTANT: DO NOT ADD ***ANY*** COMMENTS unless asked - Guess we need triple bold to make it pay attention now?

It gets even more ludicrous when you see the recommendation that you should use a LLM to write this slop of a .cursorrules file for you.

[1]: https://github.com/x1xhlol/system-prompts-and-models-of-ai-t...

[2]: https://github.com/x1xhlol/system-prompts-and-models-of-ai-t...

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