According to Anthropic (@AnthropicAI), long-running AI agents continue to face technical challenges when operating across multiple context windows, which can limit their effectiveness in complex, persistent tasks. In a recent engineering blog post, Anthropic details how their team drew inspiration from human engineering workflows to design a more robust agent harness. This approach aims to enhance the reliability and efficiency of AI agents handling extended sequences of information, addressing key bottlenecks for enterprises deploying autonomous AI solutions at scale. The improvements are expected to unlock new business opportunities in AI-powered automation, especially for sectors requiring continuous, context-aware processing. (Source: Anthropic Engineering Blog, Nov 26, 2025)