<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>YanlunAI</title><link>https://yanlunai.com/en/</link><description>Recent content on YanlunAI</description><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Mon, 24 Aug 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://yanlunai.com/en/index.xml" rel="self" type="application/rss+xml"/><item><title>Long-horizon agents: from answers to sustained work</title><link>https://yanlunai.com/en/topics/long-horizon-agents/</link><pubDate>Mon, 24 Aug 2026 10:00:00 +0800</pubDate><guid>https://yanlunai.com/en/topics/long-horizon-agents/</guid><description>Tracking memory, state, tool use, recovery, and human intervention in long-running tasks.</description></item><item><title>Agent memory is becoming a decision problem—not a storage problem</title><link>https://yanlunai.com/en/frontier/agent-memory-2026/</link><pubDate>Mon, 24 Aug 2026 09:00:00 +0800</pubDate><guid>https://yanlunai.com/en/frontier/agent-memory-2026/</guid><description>The hard part is not storing history. It is deciding what to write, when to retrieve it, and when to forget.</description></item><item><title>AI coding and human collaboration</title><link>https://yanlunai.com/en/topics/ai-coding/</link><pubDate>Sun, 23 Aug 2026 10:00:00 +0800</pubDate><guid>https://yanlunai.com/en/topics/ai-coding/</guid><description>How delegation, verification evidence, and expertise determine the real return from coding agents.</description></item><item><title>AI coding adoption is shifting from completion rate to task delegation</title><link>https://yanlunai.com/en/industry/ai-coding-adoption/</link><pubDate>Sun, 23 Aug 2026 09:00:00 +0800</pubDate><guid>https://yanlunai.com/en/industry/ai-coding-adoption/</guid><description>Teams now need to evaluate task boundaries, verification cost, and accountability—not only generation speed.</description></item><item><title>Inference efficiency and model routing</title><link>https://yanlunai.com/en/topics/inference-routing/</link><pubDate>Sat, 22 Aug 2026 10:00:00 +0800</pubDate><guid>https://yanlunai.com/en/topics/inference-routing/</guid><description>Moving beyond one benchmark to task quality, latency, throughput, and cost per successful task.</description></item><item><title>A minimum model-routing lab: quality, latency, and cost together</title><link>https://yanlunai.com/en/labs/model-routing-lab/</link><pubDate>Sat, 22 Aug 2026 09:00:00 +0800</pubDate><guid>https://yanlunai.com/en/labs/model-routing-lab/</guid><description>A reproducible routing skeleton that records task success, time to first token, total latency, and cost per successful task.</description></item><item><title>Trustworthy agents and system security</title><link>https://yanlunai.com/en/topics/trustworthy-agents/</link><pubDate>Fri, 21 Aug 2026 10:00:00 +0800</pubDate><guid>https://yanlunai.com/en/topics/trustworthy-agents/</guid><description>Designing for prompt injection, permission boundaries, tool side effects, and high-risk actions.</description></item><item><title>The RAG toolchain: a minimum loop from data to evaluation</title><link>https://yanlunai.com/en/posts/tools/2025-12-16-rag-toolchain-overview/</link><pubDate>Tue, 16 Dec 2025 09:30:00 +0800</pubDate><guid>https://yanlunai.com/en/posts/tools/2025-12-16-rag-toolchain-overview/</guid><description>Treat RAG as a pipeline: data, chunking, indexing, retrieval, reranking, generation, and evaluation. Any stage can become the bottleneck.</description></item><item><title>From chat to agents: planning is the dividing line</title><link>https://yanlunai.com/en/posts/papers/2025-12-15-agent-planning-view/</link><pubDate>Mon, 15 Dec 2025 20:10:00 +0800</pubDate><guid>https://yanlunai.com/en/posts/papers/2025-12-15-agent-planning-view/</guid><description>An agent is more than a multi-turn chat interface: it maintains state, decomposes goals, uses tools, and recovers from failure.</description></item><item><title>An engineering view of trustworthy RAG</title><link>https://yanlunai.com/en/posts/papers/2025-12-15-clean-rag-engineering/</link><pubDate>Mon, 15 Dec 2025 17:40:00 +0800</pubDate><guid>https://yanlunai.com/en/posts/papers/2025-12-15-clean-rag-engineering/</guid><description>Trustworthy RAG is not a prompt. It is a system for traceable evidence, grounded answers, and abstention under uncertainty.</description></item></channel></rss>