create like post
All checks were successful
Build & Deploy / build-and-deploy (push) Successful in 1m25s
All checks were successful
Build & Deploy / build-and-deploy (push) Successful in 1m25s
This commit is contained in:
19
content/likes/c0997.md
Normal file
19
content/likes/c0997.md
Normal file
@@ -0,0 +1,19 @@
|
||||
---
|
||||
date: 2026-04-01T15:36:59.815Z
|
||||
likeOf: https://alex000kim.com/posts/2026-03-31-claude-code-source-leak
|
||||
category: dev
|
||||
mpSyndicateTo:
|
||||
- https://blog.giersig.eu/
|
||||
aiTextLevel: "0"
|
||||
mpUrl: https://blog.giersig.eu/likes/c0997/
|
||||
permalink: /likes/c0997/
|
||||
---
|
||||
|
||||
userPromptKeywords.ts contains a regex pattern that detects user frustration:
|
||||
```
|
||||
/\b(wtf|wth|ffs|omfg|shit(ty|tiest)?|dumbass|horrible|awful|
|
||||
piss(ed|ing)? off|piece of (shit|crap|junk)|what the (fuck|hell)|
|
||||
fucking? (broken|useless|terrible|awful|horrible)|fuck you|
|
||||
screw (this|you)|so frustrating|this sucks|damn it)\b/
|
||||
```
|
||||
An LLM company using regexes for sentiment analysis is peak irony, but also: a regex is faster and cheaper than an LLM inference call just to check if someone is swearing at your tool.
|
||||
Reference in New Issue
Block a user