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How many projects involve LLM-written code now? (sh.itjust.works)

submitted 5 months ago* (last edited 5 months ago) by someacnt@sh.itjust.works to c/selfhosted@lemmy.world

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Updated my actual-budget container today, and met with authentication failure - I am locked out of my budgets.

I turned to the github repo for troubleshoot, and.. Noticed that their commits are pretty much dominated by AI now.

At least they seem to be being up-front about their AI usage by tagging commits with the tag, but it still feels icky to me.

(As a 'bonus', their only support channel is on discord - but I guess that's the norm for many open-source projects.)

Is this fact of life now? Are most projects being written and managed by LLM nowadays? Not sure I can trust the projects nowadays.

Is there alternative budget app which does not involve LLM?

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[–] Mondez@lemdro.id 57 points 5 months ago (1 children)

There is a significant difference between AI assisted and AI produced from what I've seen and experienced so far.

Assisted takes generated code and uses it to inform the code actually written, letting it fulfill a boiler plate function or the place of a junior coder at worst.

Then there are those project committing the AI produced code largely unreviewed and unchanged.

Former is mostly fine but needs an experienced coder who trained writing code unassisted (where are new coders of that caliber going to come from now?), the latter is a morasse of slop.

[–] aksdb@lemmy.world 13 points 5 months ago

Yes, experience matters a lot. I think the comparison of an coding agent being like a trainee is somewhat appropriate. Leave them to their own devices, and you likely don't get something you should be shipping to production. But guide them appropriately, and they are helpful. The difference obviously is, that a trainee learns, an agent not so much. At least not on an abstract level. Of course the more code you have, the more patterns they can then copy. But if your baseline rots, so will the code the agent derives from that baseline.