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The AI Investment Boom

(www.apricitas.io)
271 points m-hodges | 1 comments | 20 Oct 24 14:56 UTC | HN request time: 0.231s | source
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apwell23 ◴[20 Oct 24 16:04 UTC] No.41896263[source]▶
> AI products are used ubiquitously to generate code, text, and images, analyze data, automate tasks, enhance online platforms, and much, much, much more—with usage expected only to increase going forward.

Why does every hype article start with this. Personally my copilot usage has gone down while coding. I tried and tried but it always gets lost and starts spitting out subtle bugs that takes me more time to debug than if i had written it myself.

I always have this feeling of 'this might fail in production in unknown ways' because i might have missed checking the code throughly . I know i am not the only one, my coworkers and friends have expressed similar feelings.

I even tried the new 'chain of thought' model, which for some reason seems to be even worse.

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1. righthand ◴[20 Oct 24 16:17 UTC] No.41896380[source]▶
I see the same results as my TabNine+Template generator+language server as I do with things like CoPilot. I get TabNine issues when the code base isn’t huge. I think also tossing away language servers and template generators for just LLM will just lead to seeking “proper predictive path”. Most of the time the LLM will spit out the create-express/react-template for you, when you ask it to customize it will guess using the most common patterns. Do you need something to guess for you?

It’s also getting worse because people are poisoning the well.