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      <title>Claude Tag Deep Dive: From Shared Slack AI to an Organizational Agent Runtime</title>
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      <pubDate>Wed, 05 Aug 2026 00:00:00 +0800</pubDate>
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      <title>Common Sense Is Not the Mechanism: Rebuilding Industries Around Demand, Constraints, and Scarcity</title>
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      <title>Forgetting Is Harder Than Remembering: Why a Living System Must Know When to Let Go</title>
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      <title>Open Design 0.16.1: A Design Harness for Coding Agents</title>
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      <pubDate>Wed, 22 Jul 2026 20:30:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>Claude Code Playbook: 10 Configurations for Reliable Agent Workflows</title>
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      <pubDate>Mon, 20 Jul 2026 23:30:00 +0800</pubDate>
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      <pubDate>Mon, 20 Jul 2026 21:00:00 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 12:00:00 +0800</atom:updated>
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      <description>Loop engineering turns repeated prompting into a verifiable system. A field guide to state, layered checks, permissions, and clear stopping rules for solo work.
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      <title>A Solo Creator&#39;s AI Video Editing Pipeline That Actually Works</title>
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      <pubDate>Sun, 19 Jul 2026 22:00:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>A practical AI video editing pipeline for solo creators: structure shoots, automate rough cuts, keep judgment human, and publish safely across platforms.
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      <title>When Anyone Can Build the Thing, &#34;He Built It&#34; Becomes the Signal</title>
      <link>https://cubxxw.com/ai-agent/posts/super-individual-stack-reputation/</link>
      <pubDate>Sun, 19 Jul 2026 11:00:00 +0800</pubDate>
      <atom:updated>Sun, 19 Jul 2026 11:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>When the cost of building approaches zero, having built something no longer proves anything, so people go look at who built it. This essay covers the first layer of the gear stack — reputation: why trust is the one thing AI cannot flatten, the three carriers it lives on, why it will never appear on any tool list, and its three most uncomfortable truths. It closes by answering the question the whole series has been building toward: how to wire production, judgment, distribution, and reputation into one loop that feeds itself, instead of four unrelated chores.
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      <title>Distribution for Solo Builders: Your Readers Can&#39;t Be Copied</title>
      <link>https://cubxxw.com/ai-agent/posts/super-individual-stack-distribution/</link>
      <pubDate>Sun, 19 Jul 2026 10:30:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>A distribution strategy for solo builders: turn product work into durable content, choose channels deliberately, and measure the audience you actually own.
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      <title>AI Writes Requirements for Free, and That&#39;s the Most Dangerous Part</title>
      <link>https://cubxxw.com/ai-agent/posts/super-individual-stack-judgment/</link>
      <pubDate>Sun, 19 Jul 2026 10:00:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>When execution cost approaches zero, the price of building the wrong thing doesn&#39;t shrink — it becomes payable in full. AI generates requirements at near-zero cost, so your queue fills with tasks that look reasonable and deliver little, and agents will faithfully complete every one. This essay takes apart the three jobs of the judgment layer: how to guard the requirement gate, how to write acceptance criteria, and how to externalize judgment into rules files the agent reads on every run — the only part of this layer that compounds. It&#39;s also honest about the half of judgment that rules can&#39;t hold, and why hit rate is the only real test of judgment.
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      <title>I Ran Ten Agents Overnight, Woke Up to Ten PRs, and Then I Got Stuck</title>
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      <pubDate>Sun, 19 Jul 2026 09:30:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>Part two of &#34;The Super Individual&#39;s Gear Stack,&#34; on the bottom layer — production. Every advance in this layer is a public good, handed to everyone at the same moment, so once it&#39;s good enough you should stop investing. What actually blocks you isn&#39;t execution bandwidth but review bandwidth, which cannot be scaled the same way. The only lever that works is raising first-pass correctness — front-loading rules, writing acceptance criteria into tickets, and letting agents run tests to green before opening a PR. The back half lays out empirical data on AI code quality and security, which happens to explain exactly why testing and isolation are the real gear of this layer.
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      <title>The Four-Layer AI Stack for Super Individuals: What Actually Compounds</title>
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      <pubDate>Sun, 19 Jul 2026 09:00:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>A four-layer AI stack for super individuals: separate production tools from judgment, distribution, and reputation assets that compound over time in practice.
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      <title>Designing devbox-doctor: A Safer Mac Toolchain Audit</title>
      <link>https://cubxxw.com/ai-agent/posts/devbox-doctor-design/</link>
      <pubDate>Sat, 18 Jul 2026 13:30:00 +0800</pubDate>
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      <description>A design for auditing Mac developer tools with read-only evidence, bounded AI judgments, privacy safeguards, graceful fallbacks, and false-positive tests.
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      <title>Agent Skill Design: What a Dangerous SKILL.md Taught Me</title>
      <link>https://cubxxw.com/ai-agent/posts/designing-valuable-agent-skills/</link>
      <pubDate>Sat, 18 Jul 2026 00:30:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>Agent Skill and SKILL.md design through a storage-cleanup case study: architecture, permission boundaries, prompt contracts, real-machine tests, and lessons.
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      <title>Building an AI Knowledge Base: From Notes to Executable Workflows</title>
      <link>https://cubxxw.com/ai-agent/posts/info-to-creation-arsenal/</link>
      <pubDate>Fri, 17 Jul 2026 21:30:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>Build an evidence-driven AI knowledge base with executable workflows, method cards, voice rules, review gates, and feedback loops that improve content work.
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      <title>How AI Agents Rebuilt My 120-Post Blog From Scratch</title>
      <link>https://cubxxw.com/ai-agent/posts/ai-native-blog-rebuild/</link>
      <pubDate>Fri, 17 Jul 2026 17:30:00 +0800</pubDate>
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      <description>I rebuilt a 120-post Hugo blog with AI agents, human review, MCP, GitHub Actions, a cover pipeline, and a measured GEO experiment. Here is what held up.
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      <title>Where AI Agents Still Have a Blue Ocean</title>
      <link>https://cubxxw.com/ai-agent/posts/ai-agent-red-ocean-blue-ocean-2026/</link>
      <pubDate>Wed, 15 Jul 2026 18:00:00 +0800</pubDate>
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      <title>How to Build Real Trust in Unattended AI Agents That Act</title>
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      <pubDate>Wed, 15 Jul 2026 16:00:00 +0800</pubDate>
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      <title>Build a Personal Intelligence System That Leads to Action</title>
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      <pubDate>Wed, 15 Jul 2026 14:30:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>Agent Fleet Economics in 2026: Testing Low-Cost APIs and Open-Weight Options</title>
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      <pubDate>Wed, 15 Jul 2026 14:00:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>When the AI Agent Starts Prompting You, What Has Actually Changed</title>
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      <pubDate>Wed, 15 Jul 2026 12:00:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>AI News Pipelines: Automation Limits and Human Judgment</title>
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      <pubDate>Wed, 15 Jul 2026 10:00:00 +0800</pubDate>
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      <title>From Chatbot to Agent to Skill: Turning Judgment into a System</title>
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      <pubDate>Tue, 14 Jul 2026 10:00:00 +0800</pubDate>
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      <title>Give AI Tasks, Not Just Direction: Define Done First</title>
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      <pubDate>Sat, 11 Jul 2026 16:30:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>Explore direction with AI, then define the finish line yourself. A six-part task card turns open-ended conversation into work you can test, review, and trust.
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    <item>
      <title>AI Workflow Quality Gates: A Practical Engineering Guide</title>
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      <pubDate>Sat, 11 Jul 2026 15:30:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>A practical framework for reliable AI workflows: separate claims from logs, preserve evidence, run evals, set failure thresholds, and escalate risk to humans.
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    <item>
      <title>Build an AI Second Brain with Claude and Obsidian</title>
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      <pubDate>Sat, 11 Jul 2026 15:00:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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    <item>
      <title>AI Content Creation Workflow: Turning Knowledge Into Work People Want</title>
      <link>https://cubxxw.com/ai-agent/posts/info-to-creation-creation/</link>
      <pubDate>Sat, 11 Jul 2026 14:40:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>AI Knowledge Base Workflow: Turn Notes Into Verified, Reusable Capability</title>
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      <pubDate>Sat, 11 Jul 2026 14:30:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>AI Note-Taking Workflow: Turn Fleeting Inputs Into Verifiable Records</title>
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      <pubDate>Sat, 11 Jul 2026 14:20:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>AI Information Filtering Workflow: Capture Signal Without a Noise Archive</title>
      <link>https://cubxxw.com/ai-agent/posts/info-to-creation-information/</link>
      <pubDate>Sat, 11 Jul 2026 14:10:00 +0800</pubDate>
      <atom:updated>Sat, 11 Jul 2026 14:10:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>An AI information filtering workflow for capturing useful sources without building a noise archive, with privacy gates, verification, and human review.
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      <title>AI Knowledge Workflow: From Information to Records, Knowledge, and Creation</title>
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      <pubDate>Sat, 11 Jul 2026 14:00:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>GEO Measurement in 2026: A Reproducible Citation and Referral Protocol</title>
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      <pubDate>Sat, 11 Jul 2026 12:00:00 +0800</pubDate>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>GEO Blog Rebuild Case Study: Running the Five-Layer Model on Real Data</title>
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      <title>Off-Site Trust for GEO: Identity, Evidence, and Ethical Distribution</title>
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      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <title>Structured Content for GEO: A Reader-First Playbook</title>
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      <pubDate>Sat, 11 Jul 2026 10:30:00 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 18:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>A practical guide to clearer technical articles: lead with useful answers, use honest evidence, add valid schema, build internal links, and test AI visibility.
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      <category domain="category">Development</category>
      <category domain="tag">GEO</category>
      <category domain="tag">Content Strategy</category>
      <category domain="tag">SEO</category>
      <category domain="tag">AI Search</category>
      <category domain="tag">Hugo</category>
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      <media:content url="https://cubxxw.com/images/columns/geo/en-03-structured.svg" medium="image"><media:description>GEO structured tactics cover showing clear, reusable content blocks</media:description></media:content>
    </item>
    <item>
      <title>How AI Search Retrieves and Cites Sources: A Testable GEO Model</title>
      <link>https://cubxxw.com/ai-agent/posts/geo-how-ai-retrieves-and-cites/</link>
      <pubDate>Sat, 11 Jul 2026 10:00:00 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 12:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-agent/posts/geo-how-ai-retrieves-and-cites/</guid>
      <description>A practical 2026 guide to how Google, Perplexity, and ChatGPT retrieve and cite sources, separating official facts from inference and showing how to test GEO.
</description>
      <category domain="category">Development</category>
      <category domain="tag">GEO</category>
      <category domain="tag">RAG</category>
      <category domain="tag">AI Search</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Content Strategy</category>
      <enclosure url="https://cubxxw.com/images/columns/geo/en-02-retrieval.svg" type="image/jpeg" length="0" />
      <media:content url="https://cubxxw.com/images/columns/geo/en-02-retrieval.svg" medium="image"><media:description>A testable model of AI search retrieval, source selection, answer use, and citations</media:description></media:content>
    </item>
    <item>
      <title>GEO in 2026: Evidence, Limits, and a Practical Workflow</title>
      <link>https://cubxxw.com/ai-agent/posts/geo-generative-engine-optimization-guide/</link>
      <pubDate>Fri, 10 Jul 2026 22:00:00 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 18:39:47 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-agent/posts/geo-generative-engine-optimization-guide/</guid>
      <description>An evidence-led guide to generative engine optimization in 2026: what Google, OpenAI, Perplexity, Pew, Bain, and the original GEO paper actually support.
</description>
      <category domain="category">Development</category>
      <category domain="tag">GEO</category>
      <category domain="tag">SEO</category>
      <category domain="tag">AI Search</category>
      <category domain="tag">Content Strategy</category>
      <category domain="tag">LLM</category>
      <enclosure url="https://cubxxw.com/images/columns/geo/en-01-guide.svg" type="image/jpeg" length="0" />
      <media:content url="https://cubxxw.com/images/columns/geo/en-01-guide.svg" medium="image"><media:description>A five-layer GEO workflow separating access, usefulness, evidence, extraction, and measurement</media:description></media:content>
    </item>
    <item>
      <title>Inside open-lovable: Search, Text Protocols, and Sandboxes</title>
      <link>https://cubxxw.com/ai-agent/posts/dissecting-open-lovable/</link>
      <pubDate>Mon, 29 Jun 2026 09:30:00 +0800</pubDate>
      <atom:updated>Mon, 29 Jun 2026 09:30:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-agent/posts/dissecting-open-lovable/</guid>
      <description>A commit-pinned audit of open-lovable’s text protocol, Agentic Search, Morph edit path, and E2B/Vercel sandbox boundaries for practical AI app builders.
</description>
      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">Agent</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Harness Engineering</category>
      <category domain="tag">Development</category>
      <category domain="tag">Open Source</category>
      <enclosure url="https://cubxxw.com/images/covers/ai-agent/2026/dissecting-open-lovable.png" type="image/jpeg" length="0" />
      <media:content url="https://cubxxw.com/images/covers/ai-agent/2026/dissecting-open-lovable.png" medium="image"><media:description>open-lovable architecture from web scraping through code generation to dual-sandbox preview</media:description></media:content>
    </item>
    <item>
      <title>Relay Agent Architecture in 2026: A Local Implementation Audit</title>
      <link>https://cubxxw.com/ai-agent/posts/relay-agent-architecture-design/</link>
      <pubDate>Wed, 24 Jun 2026 10:00:00 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 18:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-agent/posts/relay-agent-architecture-design/</guid>
      <description>A source-based audit of Relay’s coordinator, five domain agents, LangGraph HITL, browser delivery, durability gaps, and remaining 2026 migration debt.
</description>
      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">Agent</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Python</category>
      <category domain="tag">Security</category>
      <category domain="tag">Development</category>
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      <media:content url="https://cubxxw.com/images/blog/relay-agent-architecture.webp" medium="image"><media:description>Editorial architecture diagram of Relay with a coordinator, five domain agents, safeguards, browser delivery, and audit boundaries</media:description></media:content>
    </item>
    <item>
      <title>Context Engineering: The New Foundation for AI Agents</title>
      <link>https://cubxxw.com/ai-agent/posts/context-engineering-the-new-foundation/</link>
      <pubDate>Mon, 22 Jun 2026 03:30:00 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 03:30:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-agent/posts/context-engineering-the-new-foundation/</guid>
      <description>Learn how context engineering improves AI agents through retrieval, compaction, memory, and token budgeting—and why high-signal context beats a larger window.
</description>
      <category domain="category">Development</category>
      <category domain="tag">Context Engineering</category>
      <category domain="tag">AI</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Agent</category>
      <category domain="tag">MCP</category>
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      <media:content url="https://cubxxw.com/images/blog/context-engineering-worldline.webp" medium="image"><media:description>A wide schematic of context engineering: the Write / Select / Compress / Isolate pillars feeding an AI, a laptop with notes, and a local-first world line</media:description></media:content>
    </item>
    <item>
      <title>Agent Engineering Harness: The Eight Pillars Behind the 98.4%</title>
      <link>https://cubxxw.com/ai-agent/posts/agent-engineering-the-98-percent-harness/</link>
      <pubDate>Wed, 17 Jun 2026 09:30:00 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 12:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-agent/posts/agent-engineering-the-98-percent-harness/</guid>
      <description>Agent Engineering Harness explained through eight production pillars: orchestration, context, memory, tools, reliability, evaluation, cost, and governance.
</description>
      <category domain="tag">AI</category>
      <category domain="tag">Agent</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Context Engineering</category>
      <category domain="tag">Architecture</category>
      <category domain="tag">MCP</category>
      <enclosure url="https://cubxxw.com/images/blog/agent-engineering-harness.webp" type="image/jpeg" length="0" />
      <media:content url="https://cubxxw.com/images/blog/agent-engineering-harness.webp" medium="image"><media:description>A technical diagram with a tiny agent loop at the center, surrounded by concentric rings of the eight pillars: orchestration, context, memory, tools, reliability, evaluation, cost, governance</media:description></media:content>
    </item>
    <item>
      <title>Agent Identity: From Locke to OpenClaw</title>
      <link>https://cubxxw.com/ai-agent/posts/agent-identity-from-locke-to-openclaw/</link>
      <pubDate>Sun, 05 Apr 2026 20:00:00 +0800</pubDate>
      <atom:updated>Sun, 05 Apr 2026 20:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-agent/posts/agent-identity-from-locke-to-openclaw/</guid>
      <description>A practical framework for continuous AI agent identity, covering memory, permissions, provenance, multi-agent handoffs, and cross-session evaluation design.
</description>
      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">Agent</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Context Engineering</category>
      <category domain="tag">Harness Engineering</category>
      <category domain="tag">Philosophy</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2026/agent-identity-from-locke-to-openclaw.jpeg" medium="image"><media:description>Files, memory, runtime boundaries, and evaluation for continuous agent identity</media:description></media:content>
    </item>
    <item>
      <title>Mem0 OSS v3 in Practice: Memory Architecture, Retrieval, and Trade-offs</title>
      <link>https://cubxxw.com/projects/mem0/</link>
      <pubDate>Fri, 09 May 2025 21:33:46 +0800</pubDate>
      <atom:updated>Fri, 09 May 2025 21:33:46 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/mem0/</guid>
      <description>A practical 2026 guide to Mem0 OSS v3: ADD-only extraction, hybrid retrieval, entity linking, governance, evaluation, and when not to use it in production.
</description>
      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">Agent</category>
      <category domain="tag">Open Source</category>
      <category domain="tag">Project Learning</category>
      <category domain="tag">RAG</category>
      <category domain="tag">LLM</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/mem0.jpeg" medium="image"><media:description>A quiet archive of linked memory cards illustrating Mem0 OSS v3 retrieval</media:description></media:content>
    </item>
    <item>
      <title>Microsoft UFO³ Explained: From Windows Desktop AgentOS to a Multi-Device Agent Galaxy</title>
      <link>https://cubxxw.com/projects/UFO/</link>
      <pubDate>Fri, 09 May 2025 21:30:15 +0800</pubDate>
      <atom:updated>Thu, 30 Jul 2026 12:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/UFO/</guid>
      <description>A practical analysis of Microsoft UFO³, tracing its path from Windows UI automation to Desktop AgentOS and cross-device orchestration, with limits and guidance.
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      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">Agent</category>
      <category domain="tag">Automation</category>
      <category domain="tag">Development</category>
      <category domain="tag">Open Source</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/UFO.png" medium="image"><media:description>Microsoft UFO desktop agent architecture</media:description></media:content>
    </item>
    <item>
      <title>LLM Recommendation Systems: Retrieval, Ranking, RAG, and Evaluation</title>
      <link>https://cubxxw.com/ai-agent/posts/ai-recommend/</link>
      <pubDate>Wed, 23 Apr 2025 10:39:04 +0800</pubDate>
      <atom:updated>Wed, 23 Apr 2025 10:39:04 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-agent/posts/ai-recommend/</guid>
      <description>A practical guide to LLM recommendation systems: semantic retrieval, ranking, RAG, exploration, evaluation, feedback loops, and production trade-offs.
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      <category domain="category">Technology</category>
      <category domain="tag">AI</category>
      <category domain="tag">LLM</category>
      <category domain="tag">RAG</category>
      <category domain="tag">Monitoring</category>
      <category domain="tag">Project Learning</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/ai-recommend.png" medium="image"><media:description>Blank cards passing through a wooden ranking staircase toward a reader</media:description></media:content>
    </item>
    <item>
      <title>Gemini Notebook (Formerly NotebookLM): A Source-Grounded Research Workflow</title>
      <link>https://cubxxw.com/projects/notebooklm/</link>
      <pubDate>Mon, 21 Apr 2025 22:59:57 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 12:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/notebooklm/</guid>
      <description>A practical 2026 guide to Gemini Notebook: grounded research, citations, Studio outputs, plan limits, privacy, mobile tradeoffs, and reliable workflows.
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      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">LLM</category>
      <category domain="tag">RAG</category>
      <category domain="tag">Productivity</category>
      <category domain="tag">Learning</category>
      <category domain="tag">Context Engineering</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/notebooklm.png" medium="image"><media:description>A research notebook connecting source pages, citations, and synthesized outputs</media:description></media:content>
    </item>
    <item>
      <title>Test-Driven Development for AI and LLM Applications: A Practical 2026 Guide</title>
      <link>https://cubxxw.com/projects/tdd/</link>
      <pubDate>Mon, 21 Apr 2025 15:52:34 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 10:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/tdd/</guid>
      <description>A 2026 guide to test-driven development for AI and LLM systems, covering deterministic tests, evals, calibrated graders, CI risk gates, and monitoring.
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      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Testing</category>
      <category domain="tag">Python</category>
      <category domain="tag">Go</category>
      <category domain="tag">Automation</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/tdd.jpeg" medium="image"><media:description>A red, green, and blue testing loop surrounding an AI system</media:description></media:content>
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    <item>
      <title>Microsoft MarkItDown 0.1.6: A Practical Document-to-Markdown Guide</title>
      <link>https://cubxxw.com/projects/markitdown/</link>
      <pubDate>Mon, 21 Apr 2025 15:41:21 +0800</pubDate>
      <atom:updated>Mon, 21 Apr 2025 15:41:21 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/markitdown/</guid>
      <description>Learn MarkItDown 0.1.6 for document-to-Markdown workflows, choose local, OCR, or Azure conversion, and test output quality before building a RAG pipeline.
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      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
      <category domain="tag">Python</category>
      <category domain="tag">LLM</category>
      <category domain="tag">RAG</category>
      <category domain="tag">Project Learning</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/markItdown.jpeg" medium="image"><media:description>Documents flowing through a measured conversion pipeline into structured Markdown</media:description></media:content>
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    <item>
      <title>LangGraph Architecture in 2026: StateGraph, Persistence, and Recovery</title>
      <link>https://cubxxw.com/projects/langgraph/</link>
      <pubDate>Sat, 19 Apr 2025 15:19:20 +0800</pubDate>
      <atom:updated>Sat, 19 Apr 2025 15:19:20 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/langgraph/</guid>
      <description>A practical 2026 guide to LangGraph architecture: choose the right agent layer, build checkpointed StateGraphs, and recover safely from production failure.
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      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Python</category>
      <category domain="tag">Open Source</category>
      <category domain="tag">Project Learning</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/langgraph.jpeg" medium="image"><media:description>A checkpointed LangGraph StateGraph with recovery paths</media:description></media:content>
    </item>
    <item>
      <title>LangChain 1.x in Production: Choosing Models, Agents, and LangGraph</title>
      <link>https://cubxxw.com/projects/langchain/</link>
      <pubDate>Wed, 16 Apr 2025 17:36:45 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 10:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/langchain/</guid>
      <description>A production-minded guide to LangChain 1.x: when to call a model directly, use create_agent, or adopt LangGraph, with tested patterns for RAG and HITL.
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      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
      <category domain="tag">LangChain</category>
      <category domain="tag">Agent</category>
      <category domain="tag">RAG</category>
      <category domain="tag">Python</category>
      <category domain="tag">LLM</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/langchain.png" medium="image"><media:description>A restrained editorial illustration of connected paths representing models, agents, and graph workflows</media:description></media:content>
    </item>
    <item>
      <title>AI Gateway Guide: LiteLLM, Kong, APISIX, Cloudflare, or Portkey?</title>
      <link>https://cubxxw.com/ai-agent/posts/ai-gateway/</link>
      <pubDate>Wed, 16 Apr 2025 17:36:12 +0800</pubDate>
      <atom:updated>Wed, 16 Apr 2025 17:36:12 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-agent/posts/ai-gateway/</guid>
      <description>A practical comparison of LiteLLM, Kong, APISIX, Cloudflare, and Portkey across routing, cost, security, deployment boundaries, and production checks.
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      <category domain="category">Technology</category>
      <category domain="tag">AI</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Cloud Native</category>
      <category domain="tag">Security</category>
      <category domain="tag">Monitoring</category>
      <category domain="tag">Open Source</category>
      <category domain="tag">DevOps</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/ai-gateway.png" medium="image"><media:description>Several model pipelines converge at an AI Gateway where cost and governance are weighed</media:description></media:content>
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    <item>
      <title>Independent Developer Roadmap: From Problem Validation to a Maintainable MVP</title>
      <link>https://cubxxw.com/ai-agent/posts/independent-developer/</link>
      <pubDate>Tue, 15 Apr 2025 20:53:12 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 12:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>A practical 2026 roadmap for solo builders: validate demand, choose a minimal stack, ship a maintainable MVP, charge early, and preserve a clear exit path.
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      <category domain="category">Development</category>
      <category domain="tag">Solo Builder</category>
      <category domain="tag">Product Strategy</category>
      <category domain="tag">Development</category>
      <category domain="tag">Git</category>
      <category domain="tag">Docker</category>
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      <category domain="tag">Deployment</category>
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      <media:content url="https://cubxxw.com/images/covers/ai-agent/2025/independent-developer.png" medium="image"><media:description>A solo developer&#39;s path from problem validation to a maintainable MVP</media:description></media:content>
    </item>
    <item>
      <title>GPT Researcher Guide: Python, Docker, MCP, Costs &amp; Limits</title>
      <link>https://cubxxw.com/ai-agent/posts/gpt-researcher/</link>
      <pubDate>Mon, 14 Apr 2025 16:17:27 +0800</pubDate>
      <atom:updated>Fri, 31 Jul 2026 10:00:00 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>A source-audited engineering guide to GPT Researcher: current Python APIs, Docker and MCP deployment, cost controls, benchmark limits, and production risks.
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      <category domain="category">Development</category>
      <category domain="tag">AI</category>
      <category domain="tag">Project Learning</category>
      <category domain="tag">Open Source</category>
      <category domain="tag">Python</category>
      <category domain="tag">Docker</category>
      <category domain="tag">MCP</category>
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