LLM Engineeringintermediate
Context Rot: The Silent Killer of Long-Running AI Agents
Context rot degrades your agent's output long before the context window fills. Here's why it happens, how to measure it, and what actually works to stop it.
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Context rot degrades your agent's output long before the context window fills. Here's why it happens, how to measure it, and what actually works to stop it.
A practical decision matrix for choosing between LLM APIs and self-hosted models, with a phased migration playbook drawn from real production experience at Neeva, TikTok, and enterprise deployments.
The open-weight release of Kimi K2.6 created a wave of expectations about cheap local inference. Most of those expectations are wrong. Here is what works, what does not, and how to make the right tradeoff for your stack.