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Deep, recent reads ranked by depth and freshness.

  1. Cutting our inference bill by 68% by being obsessive about optimization

    An engineering team investigated a steady rise in AI code review costs and found that cache misses and redundant model calls were driving up expenses. By restructuring system prompts to enable cross-repository prompt caching, eliminating wasted tool calls, and switching to more efficient models, the team cut inference costs by 68% while also significantly improving review latency.

    DEPTH ■■■■■15 min read6 days ago

    Machine Learning

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  2. Yandex outage: Data shows that instead of going dark, malicious bots went on the move

    Following physical strikes on Yandex data centers, overall HTTP traffic from the network dropped significantly, leading to speculation that malicious bot farms had been disabled. However, traffic analysis revealed that search crawling simply decreased while malicious automation quickly migrated to other hosting providers with identical fingerprints. Consequently, overall malicious bot traffic remained flat, demonstrating that network disruptions do not stop portable automated workloads.

    DEPTH ■■■■■8 min read11 days ago

    Incidents & Postmortems

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