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tqian | 14 days ago

Humans make such mistakes slowly. It's much harder to catch the "drift" introduced by LLM because it happens so quickly and silently. By the time you notice something is wrong, it has already become the foundation for more code. You are then looking at a full rewrite.

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hinkley|14 days ago

The rate of the mistakes versus the rate of consumers and testers finding them was a ratio we could deal with and we don’t have the facilities to deal with the new ratio.

It is likely over time that AI code will necessitate the use of more elaborate canary systems that increase the cost per feature quite considerably. Particularly for small and mid sized orgs where those costs are difficult to amortize.

Or maybe this is a SaaS opportunity for someone.