something annoyed you cognitively.

Reddit r/AI_Agents Papers
cognitive-framework persistent-memory adversarial-checking structured-harvesting

Summary

The article proposes a cognitive framework that addresses common issues in software development such as context loss, scope contamination, and outdated information by introducing concepts like persistent memory and adversarial checking.

A good framework tackles your own problems then scales. Context gets lost → build persistent memory. Too much irrelevant context → smallest useful packet. Different projects contaminate each other → scope isolation. Old information keeps resurfacing → freshness and supersession. AI agrees too easily → premise/adversarial checking. A useful discovery disappears into chat history → structured harvesting. A failure teaches something but gets forgotten → receipts and failure trajectories. Everything becomes overengineered → minimum-sufficient cognition. What has pushed you to do the same?
Original Article

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