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AI agents wrong ~70% of time: Carnegie Mellon study (www.theregister.com)

submitted 3 days ago by [email protected] to c/[email protected]

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[–] [email protected] 3 points 2 days ago (1 children)

I'm impressed you can make strides with Rust with AI. I am in a similar boat, except I've found LLMs are terrible with Rust.

[–] [email protected] 3 points 2 days ago (1 children)

I was 0/6 on various trials of AI for Rust over the past 6 months, then I caught a success. Turns out, I was asking it to use a difficult library - I can't make the thing I want work in that library either (library docs say it's possible, but...) when I posed a more open ended request without specifying the library to use, it succeeded - after a fashion. It will give you code with cargo build errors, I copy-paste the error back to it like "address: " and a bit more than half of the time it is able to respond with a working fix.

[–] [email protected] 1 points 2 days ago (1 children)

i find that rust’s architecture and design decisions give the LLM quite good guardrails and kind of keep it from doing anything too wonky. the issue arises in cases like these where the rust ecosystem is quite young and documentation/instruction can be poor, even for a human developer.

i think rust actually is quite well suited to agentic development workflows, it just needs to mature more.

[–] [email protected] 2 points 2 days ago

i think rust actually is quite well suited to agentic development workflows, it just needs to mature more.

I agree. The agents also need to mature more to handle multi-level structures - work on a collection of smaller modules to get a larger system with more functionality. I can see the path forward for those tools, but the ones I have access to definitely aren't there yet.