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Armin Ronacher warns about agent loops producing defensive code

In a blog post, Armin Ronacher argues that present-day LLMs produce code that is too defensive, complex, and local in reasoning. They avoid strong invariants and add fallbacks instead of eliminating bad states, raising concerns about agent loop scaling.

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3 hours ago
Armin Ronacher warns about agent loops producing defensive code — AIBriefs