Require LLM-generated themes & plugins to be tagged as such

[RGJ (Richard - Communiteq)]

@darkpixlz

But instead if I just go to Claude and tell it “add a music player to my app with x, y, and z”, then I can just add it and ship it. What was a “this might be cool but is useless and a waste of time” just turned into a real feature that my imaginary users now all have which adds to the app’s footprint, making it slower and heavier on RAM/storage

This is quite a jump in your reasoning.

• If you hired an intern or spent 10 nights yourself you could also have added a FLAC player to your imaginary app. Making bad product decisions is not inherent to the use of LLMs, and whether adding a useless feature is a waste of development effort has always been subject to discussion.

• Extra features don’t necessarily make your app slower and heavier on RAM, that issue has been solved by the concept of dynamic loading - 40 years ago.

@darkpixlz

With or without LLMs, it’s the responsibility of the developer to make a good app. A careless developer, AI or not, will either make a bad app or make a decent one but get carried away and ruin it

Exactly. Emphasis mine

[sam (Sam Saffron)]

@NateDhaliwal

think this distinction should be made clearly.

No this distinction should not be made

• Is the software secure?
• Does it solve my problem?

Again back to my original point here

If we have a problem with security on themes let’s talk about a system to vet

If we have a problem with quality on themes let’s talk about systems to vet

But no, I will not introduce a “developed on Mac”, “developed on red keyboard” or “developed with 93.2% AI” sticker on topics, not going to happen

How much AI do I use, happy to share my workflows on a seperate topic but I am not coding by hand in vim anymore

[matthewruzzi]

It would be the genetic fallacy to reject all AI generated plugins purely because they were written by AI. Being AI generated may have previously been a decent heuristic for being slop but with models improving it can become increasingly difficult to tell the difference between human and AI output. If the concern is quality/security then I think that it would be safer to assume all code is unsafe until it is reviewed by some kind of crowdsourced peer review system.