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i meant on a higher, agentic level where the AI's code is infallible. and that's going to happen very soon:

say: human wants to make a search engine that money for them.

1. for a task, ask several agents to make their own implementation and a super agent to evaluate each one and interrogate each agent and find the best implementation/variable names, and then explain to the human what exactly it does. or just mythos

2. the feature is something like "let videos be in search results, along with links"

3. human's job "is it worth putting videos in this search engine? will it really drive profits higher? i guess people will stay on teh search engine longer, but hmmm maybe not. maybe let's do some a/b testing and see whether it's worth implementing???" etc...

this is where the developer has to start thinking like a product manager. meaning his position is abolished and the product manager can do the "coding" part directly.

now this should be basic knowledge in 2026. i am just reading and writing back the same thing on HN omds.

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The AI's code is not going to be infallible any time soon. It's been "very soon" for the past 4 years, and the AI systems are still making the same kinds of mistakes, which are the mistakes you'd expect from a first-principles study of their model architectures. There's no straightforward path to modifying the systems we have now, to make them infallible.
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