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Discusses the shift from treating memory as a feature to treating it as critical infrastructure in AI agents, highlighting the long-term challenges of inspection, correction, and trust.
The article argues that teams should choose boring, well-understood technology for reliability, while being free to innovate in development practices like TCR (test && commit || revert), which are easier to adopt and abandon without long-term maintenance burden.