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by latexr 306 days ago
> I am not a coder (much), but I have to wonder if my experience is common in the coding world?

It is, yes. Surely someone will come and tell you it doesn’t happen to them, but all that tells you is that it ostensibly isn’t universal, but still common enough you’ll find no end of complaints.

> Maybe there are ways to avoid this (and others) pitfall with prompting?

Prompting can’t help you with things not in the training set. For many languages, all LLMs absolutely suck. Even for simple CLI tools, telling an LLM you are on macOS or using the BSD version may not be enough to get them to stop giving you the GNU flags. Furthermore, the rsync change in macOS is fairly recent so there’s even fewer data online on it.

https://derflounder.wordpress.com/2025/04/06/rsync-replaced-...

> As it is, I do not see at all how LLMs could really save time on programming tasks without also costing more time dealing with its quirks.

And that’s the best case scenario. It also happens that people blindly commit LLM code and introduce bugs and security flaw they cannot understand or fix.

https://secondthoughts.ai/p/ai-coding-slowdown

https://arxiv.org/abs/2211.03622

1 comments

Usually, in these edge cases, I go to the documentation page and dump all pages as Markdown into the AI tool (most often Gemini, due to token count). This context engeneering has helped a lot to get better answers. However, it also means I am consuming sometimes 1 Million tokens on relatively simple problems. Like recently, when I needed to solve a relativey simple but specific MermaidJS issue.