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    <title>AI on Xinwei Xiong (cubxxw) - AI, Open Source &amp; Nomad Blog</title>
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    <description>Tech blog by Xinwei Xiong — AI Builder, open source contributor and digital nomad sharing Kubernetes, Go, AI projects and travel.</description>
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      <title>March 2026 Thought Notes</title>
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      <pubDate>Tue, 31 Mar 2026 23:59:59 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>March 2026 thought notes, 468 entries across 31 days. Covers travel impressions (Cambodia Siem Reap, Angkor Wat, Phnom Penh history), AI Agent architecture and multi-agent system design, Khmer civilization engineering aesthetics, and self-narrative cognitive exploration. Core topics: Gewu/AI (53 entries), Gewu/Cambodia (38 entries), Gewu/Angkor Wat (23 entries), Gewu/Hinduism (15 entries), Guannwo (14 entries), Gewu/Vietnam (11 entries).
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      <title>Dissecting open-lovable: An App Generator That Tames the Raw API Without an Agent Framework</title>
      <link>https://cubxxw.com/ai-technology/posts/dissecting-open-lovable/</link>
      <pubDate>Mon, 29 Jun 2026 09:30:00 +0800</pubDate>
      <atom:updated>Mon, 29 Jun 2026 23:33:51 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>A full dissection of firecrawl/open-lovable (27k★, paste a URL and get a working React app in seconds), from product to code. Its most interesting trait isn&#39;t that it generates code — it&#39;s that it uses no agent framework, no Claude Agent SDK, no native tool-calling. Instead it hand-rolls an entire harness on top of the raw LLM API: a text DSL protocol, streaming regex parsing, truncation detection and recovery, manual context orchestration, plus a swappable cloud sandbox layer (E2B / Vercel Sandbox). This is a case study in taming the raw API.
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      <category domain="tag">Agent</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Architecture</category>
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      <title>The Super-Individual Stack: AI-Native Product Directions and Solo Builder Ops in 2026</title>
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      <pubDate>Wed, 24 Jun 2026 14:55:00 +0800</pubDate>
      <atom:updated>Wed, 24 Jun 2026 15:27:30 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>As the model layer commoditizes and 40% of enterprise AI projects are headed for cancellation, the super-individual finally has the full primitive set to cut into a $4.6T services market. This essay assembles the most current 2025-2026 methodologies into one executable map: the core thesis, six product directions, five ops stacks, the Soul Core + Harness Engineering foundations, and a 12-month roadmap.
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      <category domain="tag">Super Individual</category>
      <category domain="tag">Solo Builder</category>
      <category domain="tag">Indie Hacker</category>
      <category domain="tag">AI</category>
      <category domain="tag">Agent</category>
      <category domain="tag">Harness Engineering</category>
      <category domain="tag">MCP</category>
      <category domain="tag">Product Strategy</category>
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    <item>
      <title>Building a Production-Grade AI Agent System from Scratch: A Full Architecture Breakdown of Relay</title>
      <link>https://cubxxw.com/ai-technology/posts/relay-agent-architecture-design/</link>
      <pubDate>Wed, 24 Jun 2026 10:00:00 +0800</pubDate>
      <atom:updated>Wed, 24 Jun 2026 14:18:19 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>Using the Relay open-source job-search Agent project as a case study, this article fully breaks down every key design decision in a production-grade multi-agent system: why split a single Agent into 5, how to implement HITL checkpoints with LangGraph, how a three-tier LLM router precisely tracks costs, how a fabrication guard validates at runtime, and how a hybrid backend (Hono/Bun + FastAPI/Python) decouples cleanly. Whether you are building your first Agent PoC or pushing toward production, there are design patterns here you can take away.
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      <category domain="category">AI &amp; Technology</category>
      <category domain="tag">AI</category>
      <category domain="tag">Agent</category>
      <category domain="tag">LangGraph</category>
      <category domain="tag">LLM</category>
      <category domain="tag">Architecture</category>
      <category domain="tag">TypeScript</category>
      <category domain="tag">Python</category>
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      <title>Context Is Not Prompt: Why Context Engineering Is Becoming AI&#39;s New Foundation</title>
      <link>https://cubxxw.com/ai-technology/posts/context-engineering-the-new-foundation/</link>
      <pubDate>Mon, 22 Jun 2026 03:30:00 +0800</pubDate>
      <atom:updated>Tue, 23 Jun 2026 15:16:04 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
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      <description>Why context engineering supersedes prompt engineering — a systematic look at context assembly, retrieval, compression, and eviction patterns, drawing from Anthropic, Karpathy, LangChain, and Manus.</description>
      <category domain="category">AI &amp; Technology</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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    <item>
      <title>The Agent Engineering Map: Where Does That 98.4% of the Work Actually Live?</title>
      <link>https://cubxxw.com/ai-technology/posts/agent-engineering-the-98-percent-harness/</link>
      <pubDate>Wed, 17 Jun 2026 09:30:00 +0800</pubDate>
      <atom:updated>Wed, 24 Jun 2026 14:18:30 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-technology/posts/agent-engineering-the-98-percent-harness/</guid>
      <description>A panoramic map that treats Agent Engineering as a discipline. Starting from the widely cited claim that only 1.6% of Claude Code is AI decision logic while 98.4% is infrastructure, it walks the eight pillars one by one — orchestration, context, memory, tools, reliability, evaluation, cost, governance — explaining the gap each fills, its minimal implementation, and its failure boundary. It fuses 2025 to 2026 frontline engineering from Anthropic, OpenAI, Cognition, Manus, and Temporal, and lands on one line: the model is bought, the harness is built, and your entire engineering leverage lives in that 98.4%.
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      <category domain="category">AI &amp; Technology</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">Architecture</category>
      <category domain="tag">MCP</category>
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      <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-technology/posts/agent-identity-from-locke-to-openclaw/</link>
      <pubDate>Sun, 05 Apr 2026 20:00:00 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-technology/posts/agent-identity-from-locke-to-openclaw/</guid>
      <description>AI agent amnesia isn&#39;t a functional defect—it&#39;s a fundamental gap in the trust account. Starting from Locke&#39;s 1689 theory of identity, this article dissects the complete engineering stack for agent identity continuity in 2026: file-as-identity (SOUL.md paradigm), Harness as environmental condition, four-layer memory architecture and Gene Capsule protocol, self-positioning in multi-agent topology, and evaluation as the ultimate identity verification challenge. For practitioners building or designing AI agent systems, and researchers deeply thinking about the boundaries of AI autonomy.
</description>
      <category domain="category">AI &amp; Technology</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
      <category domain="tag">Monthly Notes</category>
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    </item>
    <item>
      <title>Maintaining Self-Worth in the Age of AI</title>
      <link>https://cubxxw.com/growth/posts/weight-of-self-in-ai-age/</link>
      <pubDate>Sat, 04 Apr 2026 22:00:00 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/growth/posts/weight-of-self-in-ai-age/</guid>
      <description>When AI can replace our thinking, execution, and even creation, where does the weight of &#34;self&#34; come from? This isn&#39;t an article about career crisis—it&#39;s one person&#39;s attempt to figure out why they&#39;re still here.
</description>
      <category domain="category">Growth</category>
      <category domain="tag">AI</category>
      <category domain="tag">Personal Growth</category>
      <category domain="tag">Self-Discovery</category>
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      <media:content url="https://cubxxw.com/images/posts/2026/ai-self-identity/mountain-path.jpg" medium="image"><media:description>How to Maintain the Weight of Self in an Age When You Are No Longer Needed</media:description></media:content>
    </item>
    <item>
      <title>AI Recommendation Systems: How They Work</title>
      <link>https://cubxxw.com/projects/ai-recommend/</link>
      <pubDate>Wed, 23 Apr 2025 10:39:04 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/ai-recommend/</guid>
      <description>Exploring AI-powered recommendation systems and how to build personalized content discovery engines.
</description>
      <category domain="category">Projects</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
    </item>
    <item>
      <title>NotebookLM: Google&#39;s AI Research Tool</title>
      <link>https://cubxxw.com/projects/notebooklm/</link>
      <pubDate>Mon, 21 Apr 2025 22:59:57 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/notebooklm/</guid>
      <description>Exploring Google NotebookLM as an AI-powered research and note-taking assistant.
</description>
      <category domain="category">Projects</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
    </item>
    <item>
      <title>TDD for AI: Test-Driven Development Guide</title>
      <link>https://cubxxw.com/projects/tdd/</link>
      <pubDate>Mon, 21 Apr 2025 15:52:34 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/tdd/</guid>
      <description>Applying Test-Driven Development principles to AI and LLM application development.
</description>
      <category domain="category">Projects</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
    </item>
    <item>
      <title>MarkItDown: Convert Documents to Markdown</title>
      <link>https://cubxxw.com/projects/markitdown/</link>
      <pubDate>Mon, 21 Apr 2025 15:41:21 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/markitdown/</guid>
      <description>A deep-dive into Microsoft MarkItDown: an open source Python tool for converting PDF, Word, PowerPoint, Excel, images, audio, and more into Markdown. Covers architecture, installation, hands-on tutorials, LLM integration, security considerations, and comparisons with similar tools.
</description>
      <category domain="category">Projects</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>
    </item>
    <item>
      <title>LangGraph: Stateful AI Agent Workflows</title>
      <link>https://cubxxw.com/projects/langgraph/</link>
      <pubDate>Sat, 19 Apr 2025 15:19:20 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/langgraph/</guid>
      <description>Deep dive into LangGraph for building stateful, multi-actor LLM workflows and agent orchestration.
</description>
      <category domain="category">Projects</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
    </item>
    <item>
      <title>LangChain: Open Source LLM Framework</title>
      <link>https://cubxxw.com/projects/langchain/</link>
      <pubDate>Wed, 16 Apr 2025 17:36:45 +0800</pubDate>
      <atom:updated>Tue, 07 Jul 2026 14:23:03 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/langchain/</guid>
      <description>A practical guide to building LLM applications with LangChain — chains, agents, RAG, and the LangChain 1.0 create_agent + middleware model — with hands-on quick-start cases, 2025–2026 frontier updates, and common interview questions.
</description>
      <category domain="category">Projects</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>
    </item>
    <item>
      <title>LLM/AI API Gateway Market Analysis &amp; Startup Stack Recommendations</title>
      <link>https://cubxxw.com/projects/ai-gateway/</link>
      <pubDate>Wed, 16 Apr 2025 17:36:12 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/ai-gateway/</guid>
      <description>A deep dive into AI gateway architecture for managing LLM API traffic, rate limiting, and multi-model routing.
</description>
      <category domain="category">Projects</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
    </item>
    <item>
      <title>Independent Developer in the AI Era: Open Source Deep Dive</title>
      <link>https://cubxxw.com/projects/independent-developer/</link>
      <pubDate>Tue, 15 Apr 2025 20:53:12 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/independent-developer/</guid>
      <description>Reflections on the journey of becoming an independent developer in the AI era.
</description>
      <category domain="category">Projects</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
    </item>
    <item>
      <title>GPT Researcher: Open Source Deep Dive</title>
      <link>https://cubxxw.com/projects/gpt-researcher/</link>
      <pubDate>Mon, 14 Apr 2025 16:17:27 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/gpt-researcher/</guid>
      <description>An analysis of the GPT Researcher open source project — autonomous AI agents for deep research tasks.
</description>
      <category domain="category">Projects</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
    </item>
    <item>
      <title>Jina AI: Multimodal Search &amp; Embeddings</title>
      <link>https://cubxxw.com/projects/jina/</link>
      <pubDate>Sat, 12 Apr 2025 13:01:59 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/projects/jina/</guid>
      <description>Exploring Jina AI&#39;s multimodal embedding and search infrastructure for production AI applications.
</description>
      <category domain="category">Projects</category>
      <category domain="tag">AI</category>
      <category domain="tag">Open Source</category>
    </item>
    <item>
      <title>Sora Ease Guide: Mastering Sora AI for Developers</title>
      <link>https://cubxxw.com/ai-technology/posts/sora-ease-guide-mastering-sora-ai-for-developers/</link>
      <pubDate>Thu, 14 Mar 2024 08:44:13 +0800</pubDate>
      <atom:updated>Tue, 07 Jul 2026 15:43:20 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-technology/posts/sora-ease-guide-mastering-sora-ai-for-developers/</guid>
      <description>This comprehensive guide introduces Sora AI, offering developers an accessible, automated, and swift path to harnessing its potential. Dive into various scenarios, master commanding Sora, and explore the multi-faceted applications of this AI model trained to understand and simulate the physical world in motion. Whether you&#39;re seeking the latest Sora news, development projects, or open-source contributions, this article is your gateway to the expansive world of Sora AI development.
</description>
      <category domain="category">AI &amp; Technology</category>
      <category domain="tag">Blog</category>
      <category domain="tag">sora</category>
      <category domain="tag">AI</category>
      <category domain="tag">github</category>
    </item>
    <item>
      <title>Exploring Sora Technology for Enthusiasts and Developers</title>
      <link>https://cubxxw.com/ai-technology/posts/exploring-sora-technology-for-enthusiasts-and-developers/</link>
      <pubDate>Sat, 24 Feb 2024 13:30:15 +0800</pubDate>
      <atom:updated>Tue, 07 Jul 2026 15:43:20 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-technology/posts/exploring-sora-technology-for-enthusiasts-and-developers/</guid>
      <description>Dive into the world of Sora Technology, a groundbreaking platform for AI-driven video generation. This post is designed for both tech enthusiasts and developers eager to unlock the potential of Sora. Discover how you can leverage Sora to create stunning, AI-generated videos with ease, and join a community of innovators transforming the digital landscape.
</description>
      <category domain="category">AI &amp; Technology</category>
      <category domain="tag">Blog</category>
      <category domain="tag">sora</category>
      <category domain="tag">AI</category>
      <category domain="tag">chatgpt</category>
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    <item>
      <title>Vector Database Learning</title>
      <link>https://cubxxw.com/ai-technology/posts/vector-database-learning/</link>
      <pubDate>Sat, 20 Jan 2024 12:57:15 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-technology/posts/vector-database-learning/</guid>
      <description>An introduction to vector databases for AI applications. Starts from the prerequisites, the basics of vectors, similarity measures such as cosine similarity, and database indexing, then explains how vector databases differ from traditional databases and where they fit in AI.
</description>
      <category domain="category">AI &amp; Technology</category>
      <category domain="tag">Blog</category>
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      <category domain="tag">Database</category>
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    <item>
      <title>Use Auto Gpt</title>
      <link>https://cubxxw.com/ai-technology/posts/use-auto-gpt/</link>
      <pubDate>Sat, 18 Mar 2023 16:28:30 +0800</pubDate>
      <atom:updated>Mon, 22 Jun 2026 18:48:25 +0800</atom:updated>
      <dc:creator>熊鑫伟 (Xinwei Xiong)</dc:creator>
      <guid isPermaLink="true">https://cubxxw.com/ai-technology/posts/use-auto-gpt/</guid>
      <description>Learn how to install and use Auto-GPT for autonomous AI task automation, including setup, configuration, and practical use cases.</description>
      <category domain="category">AI &amp; Technology</category>
      <category domain="tag">Blog</category>
      <category domain="tag">AI</category>
      <category domain="tag">autogpt</category>
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