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Embracing the parallel coding agent lifestyle

(simonwillison.net)
159 points jbredeche | 1 comments | 06 Oct 25 10:40 UTC | HN request time: 0.251s | source
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cuttothechase ◴[09 Oct 25 19:29 UTC] No.45532033[source]▶
The fact that we now have to write cook book about cook books kind of masks the reality that there is something that could be genuinely wrong about this entire paradigm.

Why are even experts unsure about whats the right way to do something or even if its possible to do something at all, for anything non-trivial? Why so much hesitancy, if this is the panacea? If we are so sure then why not use the AI itself to come up with a proven paradigm?

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1. johnh-hn ◴[09 Oct 25 19:59 UTC] No.45532341[source]▶
It reminds me of a quote from Designing Data-Intensive Applications by Martin Kleppmann. It goes something like, "For distributed systems, we're trying to create a reliable system out of a set of unreliable components." In a similar fashion, we're trying to get reliable results from an unreliable process (i.e. prompting LLMs to do what we ask).

The difficulties of working with distributed systems are well known but it took a lot of research to get there. The uncertain part is whether research will help overcome the issues of using LLMs, or whether we're really just gambling (in the literal sense) at scale.