this post was submitted on 31 Aug 2024
19 points (74.4% liked)
Open Source
31713 readers
113 users here now
All about open source! Feel free to ask questions, and share news, and interesting stuff!
Useful Links
- Open Source Initiative
- Free Software Foundation
- Electronic Frontier Foundation
- Software Freedom Conservancy
- It's FOSS
- Android FOSS Apps Megathread
Rules
- Posts must be relevant to the open source ideology
- No NSFW content
- No hate speech, bigotry, etc
Related Communities
- !libre_culture@lemmy.ml
- !libre_software@lemmy.ml
- !libre_hardware@lemmy.ml
- !linux@lemmy.ml
- !technology@lemmy.ml
Community icon from opensource.org, but we are not affiliated with them.
founded 5 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Huh. That's actually kind've a clever use case. I hadn't considered that. I presume the main obstacle would be the token limit of whatever LLM that one is using (presuming that it was an LLM that was used). Analyzing an entire codebase, ofc, depending on the project, would likely require an enormous amount of tokens that an LLM wouldn't be able to handle, or it would just be prohibitively expensive. To be clear, that's not to say that I know that such an LLM doesn't exist — one very well could — but if one doesn't, then that would be rationale that i would currently stand behind.
I understand, but I wouldn't be surprised to see some solution out there that could maybe feed the AI chunks of code without context... It may still be able to detect "hey you told me this software is supposed to do X and here it seems to be doing Y".
I guess we'll have to wait a couple of years for these tools to be accessible and affordable.