A case for AI garbage collection + triage
Heat trend
Collecting trend data
The percentage is based on available heat signal, not comment count or independent people.
The discussion revolves around the potential for AI in garbage collection and triage within development communities.…
I’m curious what people here think about this.
AI pipelines generate a growing amount of transient material and intermediate paper trail:
- VS Code / Codex threads
- ChatGPT chats
- document drafts
- plan files
- stale metadata
- intermediate image generations
- temporary outputs and side-effect files
AI is understandably conservative about deleting things without explicit authorization, so housekeeping gets pushed back onto its carbon-based counterpart (aka us). At the same time, AI is not always good at inferring the axiological value of an artifact - what is actually worth keeping - without guidance.
It seems like we need a core garbage-collection + triage mechanism.
Periodically, based on user-defined rules, the AI could collect likely-transient artifacts into a new kind of "recycle bin" or staging area. The user could then quickly triage them - keep, archive, promote, or discard.
The important distinction is that the AI would not decide what has value on its own. It would surface likely garbage and make the human decision cheap.
As AI makes it possible to generate artifacts at much greater scale, digital housekeeping probably needs to scale with it.
What do you think?