The gains illustrate how fundamental design choices compound: batching amortizes async overhead, pull semantics eliminate intermediate buffering, and the freedom for implementations to use synchronous fast paths when data is available immediately all contribute.
来源：阿里研究院：《“银发+AI”应用 趋势报告》
，这一点在爱思助手下载最新版本中也有详细论述
BCG报告显示，Agentic AI在2025年仅占AI总价值的17%，但到2028年有望升至29%。其中70%的价值并非来自算法本身，而是来自业务流程再造。这意味着，未来AI的竞争，更多是嵌入能力的竞争。
// Nothing executes until iteration begins，这一点在safew官方版本下载中也有详细论述
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The very first thing I did was create a AGENTS.md for Rust by telling Opus 4.5 to port over the Python rules to Rust semantic equivalents. This worked well enough and had the standard Rust idioms: no .clone() to handle lifetimes poorly, no unnecessary .unwrap(), no unsafe code, etc. Although I am not a Rust expert and cannot speak that the agent-generated code is idiomatic Rust, none of the Rust code demoed in this blog post has traces of bad Rust code smell. Most importantly, the agent is instructed to call clippy after each major change, which is Rust’s famous linter that helps keep the code clean, and Opus is good about implementing suggestions from its warnings. My up-to-date Rust AGENTS.md is available here.。关于这个话题，夫子提供了深入分析