<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI on XiDao Tech Blog</title><link>https://blog.xidao.online/en/tags/ai/</link><description>Recent content in AI on XiDao Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 XiDao</copyright><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.xidao.online/en/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Anthropic Claude 4.7: Reasoning Capability Evolution</title><link>https://blog.xidao.online/en/posts/2026-claude-4-7-deep-dive/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-claude-4-7-deep-dive/</guid><description>&lt;h2 class="relative group"&gt;Introduction
 &lt;div id="introduction" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#introduction" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;In early 2026, Anthropic officially released &lt;strong&gt;Claude 4.7&lt;/strong&gt; — a major leap forward in the Claude model family. Compared to its predecessor Claude 4.5, Claude 4.7 achieves qualitative breakthroughs in reasoning depth, tool use, code generation, and multimodal understanding. For AI developers, researchers, and technical decision-makers, understanding Claude 4.7&amp;rsquo;s capabilities and best practices is essential for staying at the cutting edge.&lt;/p&gt;
&lt;p&gt;This article provides a comprehensive deep dive into Claude 4.7, covering its technical architecture, benchmark performance, real-world applications, pricing strategy, and migration guidance.&lt;/p&gt;</description></item><item><title>Building Production AI Agents with MCP: A 2026 Developer's Complete Guide</title><link>https://blog.xidao.online/en/posts/2026-05-01-mcp-ai-agents-developer-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-05-01-mcp-ai-agents-developer-guide/</guid><description>&lt;h2 class="relative group"&gt;The Rise of AI Agents in 2026
 &lt;div id="the-rise-of-ai-agents-in-2026" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#the-rise-of-ai-agents-in-2026" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;2026 has marked a turning point for AI agents. What was experimental in 2024-2025 is now production infrastructure at thousands of companies. The catalyst? &lt;strong&gt;Model Context Protocol (MCP)&lt;/strong&gt; — Anthropic&amp;rsquo;s open standard that gives LLMs a universal interface to interact with external tools, data sources, and services.&lt;/p&gt;
&lt;p&gt;If you&amp;rsquo;re a developer building AI-powered workflows in 2026, MCP is no longer optional — it&amp;rsquo;s the backbone of the agentic ecosystem.&lt;/p&gt;</description></item><item><title>Complete Guide to Claude 4.7 API Integration in 2026: From Zero to Production</title><link>https://blog.xidao.online/en/posts/2026-claude-4-7-api-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-claude-4-7-api-guide/</guid><description>&lt;h2 class="relative group"&gt;Introduction
 &lt;div id="introduction" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#introduction" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;In 2026, Anthropic released &lt;strong&gt;Claude 4.7&lt;/strong&gt; — a landmark model that pushes the boundaries of reasoning, code generation, multimodal understanding, and long-context processing. For developers, knowing how to efficiently and reliably integrate the Claude 4.7 API into production systems is now an essential skill.&lt;/p&gt;
&lt;p&gt;This guide walks you through everything: from your first API call to production-grade deployment, covering the latest API changes, pricing structure, and battle-tested best practices.&lt;/p&gt;</description></item><item><title>From Single Model to Multi-Model: 2026 AI Application Architecture Evolution Guide</title><link>https://blog.xidao.online/en/posts/2026-multi-model-architecture/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-multi-model-architecture/</guid><description>&lt;h1 class="relative group"&gt;From Single Model to Multi-Model: 2026 AI Application Architecture Evolution Guide
 &lt;div id="from-single-model-to-multi-model-2026-ai-application-architecture-evolution-guide" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#from-single-model-to-multi-model-2026-ai-application-architecture-evolution-guide" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h1&gt;
&lt;blockquote&gt;&lt;p&gt;In 2026, a single model can no longer meet the demands of production-grade AI applications. This article walks you through five architecture evolution phases, from the simplest single-model call to autonomous multi-model agent systems, with architecture diagrams, code examples, and migration guides at every step.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h2 class="relative group"&gt;Introduction
 &lt;div id="introduction" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#introduction" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;The AI landscape of 2026 looks dramatically different from two years ago. Claude 4.7 excels at long-context reasoning, GPT-5.5 dominates multimodal generation, Gemini 3.0 leads in search-augmented scenarios, and Llama 4 shines in private deployment with its open-source ecosystem. With such diverse model options, &lt;strong&gt;&amp;ldquo;which model should I use?&amp;rdquo; has become a trick question&lt;/strong&gt; — the real question is: &lt;strong&gt;how do you design an architecture where multiple models work together?&lt;/strong&gt;&lt;/p&gt;</description></item><item><title>RAG 2.0 in Practice: Latest Retrieval-Augmented Generation Architecture in 2026</title><link>https://blog.xidao.online/en/posts/2026-rag-architecture-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-rag-architecture-guide/</guid><description>&lt;h1 class="relative group"&gt;RAG 2.0 in Practice: Latest Retrieval-Augmented Generation Architecture in 2026
 &lt;div id="rag-20-in-practice-latest-retrieval-augmented-generation-architecture-in-2026" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#rag-20-in-practice-latest-retrieval-augmented-generation-architecture-in-2026" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h1&gt;

&lt;h2 class="relative group"&gt;Introduction
 &lt;div id="introduction" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#introduction" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;Retrieval-Augmented Generation (RAG), first introduced by Facebook AI Research in 2020, has become one of the most critical paradigms in large language model (LLM) applications. By 2026, RAG has evolved from its original naive &amp;ldquo;retrieve → concatenate → generate&amp;rdquo; pattern into an entirely new phase — &lt;strong&gt;RAG 2.0&lt;/strong&gt;.&lt;/p&gt;</description></item><item><title>The Complete Guide to LLM API Gateways in 2026</title><link>https://blog.xidao.online/en/posts/api-gateway-guide-2026/</link><pubDate>Thu, 30 Apr 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/api-gateway-guide-2026/</guid><description>&lt;h2 class="relative group"&gt;Why Do You Need an API Gateway?
 &lt;div id="why-do-you-need-an-api-gateway" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#why-do-you-need-an-api-gateway" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;In 2026, LLM API calls have become a daily necessity. XiDao API Gateway provides unified interface, smart routing, cost optimization, and high availability.&lt;/p&gt;
&lt;div class="highlight-wrapper"&gt;&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-python" data-lang="python"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="nn"&gt;openai&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="n"&gt;client&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;openai&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;OpenAI&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="n"&gt;api_key&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="s2"&gt;&amp;#34;your-xidao-api-key&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="n"&gt;base_url&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="s2"&gt;&amp;#34;https://global.xidao.online/v1&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="n"&gt;response&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;client&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;chat&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;completions&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;create&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="n"&gt;model&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="s2"&gt;&amp;#34;gpt-4o&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="n"&gt;messages&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="p"&gt;[{&lt;/span&gt;&lt;span class="s2"&gt;&amp;#34;role&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="s2"&gt;&amp;#34;user&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="s2"&gt;&amp;#34;content&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="s2"&gt;&amp;#34;Hello!&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;}]&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;/div&gt;
&lt;p&gt;👉 Try it now: &lt;a href="https://global.xidao.online" target="_blank" rel="noreferrer"&gt;global.xidao.online&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>