Re:Claude Code's source code has been leaked via a map file ...
by briHass on Tuesday March 31, 2026 @11:28AM
(#47588814)
Hey LLM, write me a system prompt that will avoid the common AI 'tells' or other idiosyncrasies that make it obvious that text or code output was generated by an AI/LLM. Use the referenced Wikipedia article as a must-avoid list, but do not consider it exhaustive. Add any derivations or modifications to these rules to catch 'likely' signals as well.
There, sorted!
Re:Claude Code's source code has been leaked via a map file ...
by mickdarling on Tuesday March 31, 2026 @04:37PM
(#47593151)
Hey, LLM, take a look at these multiple hundred emails and docs in my docs folder from the last few years, before I started using AI, that I wrote personally. create a list of all of the idiosyncrasies that I have in my writing. Create a file to remember that. And then use that to write any new text that'll be published so it sounds like my authentic voice. Thank you.
Re:Claude Code's source code has been leaked via a map file ...
by skeledrew on Tuesday March 31, 2026 @01:31PM
(#47590766)
All the prompts I've ever written with Claude have always worked fine the first time. Only revised if the actual purpose changes, I left something out, etc. But also I tend to only write prompts as part of a larger session, usually near the end, so there's lots of context available to help with the writing.
Re:Claude Code's source code has been leaked via a map file ...
by alwillis on Tuesday March 31, 2026 @02:16PM
(#47591378)
AI is better at writing prompts than most humans. It requires work and lots of developers don’t think getting good at prompting actually matters.
At least half of the complaints I see on HN boil down to the person's prompts suck. Or the expectation that AI can read their mind.
Re:Claude Code's source code has been leaked via a map file ...
by joquarky on Tuesday March 31, 2026 @04:11PM
(#47592796)
As someone who often fails to read subtext, I would estimate that most people expect you to participate in mind reading as a natural part of conversation.
So it is no surprise that many people have difficulty switching gears to literal mode when interacting with these models.
But AI aren't actually very good at writing prompts imo. Like they are superficially good in that they seem to produce lots of vaguely accurate and specific text. And you would hope the specificity would mean it's good.
But they sort of don't capture intent very well. Nor do they seem to understand the failure modes of AI. The "-- describe only what the code change does" is a good example. This is specifc but it also distinctly seems like someone who doesn't actually understand what makes AI writing obvious.
If you compare that vs human written prose about what makes AI writing feel AI you would see the difference. https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing
The above actually feels like text from someone who has read and understands what makes AI writing AI.