https://cubxxw.com/ai-agent/ Tech blog by Xinwei Xiong — AI Builder, open source contributor and digital nomad sharing Kubernetes, Go, AI projects and travel. https://cubxxw.com/assets/og-image.png https://cubxxw.com/ Hugo -- gohugo.io en-us https://cubxxw.com/ai-agent/posts/geo-measurement-and-tools/ Sat, 11 Jul 2026 12:00:00 +0800 Sat, 11 Jul 2026 18:28:03 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/geo-measurement-and-tools/ Classic "rank + click" fails in the GEO era because most value happens where the user never visits you. This final chapter gives you a workable measurement system: prompt testing, AI referral traffic, GSC cross-check, dedicated tools (Profound/Peec), and a low-cost DIY monitor built on this repo's own scripts. Chapter 6 (finale) of the GEO series. GEO Measurement Analytics AI Search Tools Content Strategy SEO GEO measurement and tools cover showing citation rate, share of voice, and monitoring radar https://cubxxw.com/ai-agent/posts/geo-blog-rebuild-case-study/ Sat, 11 Jul 2026 11:30:00 +0800 Sat, 11 Jul 2026 18:28:03 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/geo-blog-rebuild-case-study/ Four chapters of method — now real data. I dug through cubxxw.com's Google Search Console and PageSpeed Insights and diagnosed it layer by layer with the five-layer model: why 878K impressions produced only 852 clicks, which queries are noise and which are gold, how to protect a domain migration, and a priority-ranked rebuild checklist. Chapter 5 of the GEO series. GEO Case Study SEO Audit Analytics Content Strategy AI Search Hugo GEO blog rebuild case study cover showing a real-data dashboard and growth curve https://cubxxw.com/ai-agent/posts/geo-trust-and-endorsement/ Sat, 11 Jul 2026 11:00:00 +0800 Sat, 11 Jul 2026 18:28:03 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/geo-trust-and-endorsement/ Your technical base and structure are right — so why still no AI citations? Because the final gate is trust, and most trust comes from off-site. This chapter covers operationalizing E-E-A-T, building entity consistency, why Reddit + Wikipedia are 66% of AI citations, and how a personal blog builds off-site endorsement pragmatically. Chapter 4 of the GEO series. GEO E-E-A-T Digital PR Content Strategy AI Search Community Branding GEO trust and endorsement cover showing entity consistency and community proof https://cubxxw.com/ai-agent/posts/geo-structured-content-tactics/ Sat, 11 Jul 2026 10:30:00 +0800 Sat, 11 Jul 2026 18:28:03 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/geo-structured-content-tactics/ Principles done — this chapter is all hands-on: how to write Answer-First paragraphs, turn headings into questions, whether FAQPage/HowTo schema still matters after Google retired the rich results, the right way to do llms.txt and tldr, and how to weave internal links into a topic cluster. With code and before/after. Chapter 3 of the GEO series. GEO Structured Data Schema Content Strategy SEO AI Search Hugo GEO structured tactics cover showing citable paragraph blocks https://cubxxw.com/ai-agent/posts/geo-how-ai-retrieves-and-cites/ Sat, 11 Jul 2026 10:00:00 +0800 Sat, 11 Jul 2026 18:28:03 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/geo-how-ai-retrieves-and-cites/ To get cited by AI, first understand how it picks. This chapter takes the RAG pipeline apart to the component level: query fan-out, hybrid retrieval, vector semantics, multi-stage reranking, and citations pre-embedded before generation. The one core takeaway — the retrieval unit is the passage, not the page. Optimize the chunk. Chapter 2 of the GEO series. GEO RAG AI Search Retrieval LLM Embeddings Content Strategy GEO mechanics cover showing the RAG pipeline for AI retrieval, reranking, and citation https://cubxxw.com/ai-agent/posts/geo-generative-engine-optimization-guide/ Fri, 10 Jul 2026 22:00:00 +0800 Sat, 11 Jul 2026 17:27:12 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/geo-generative-engine-optimization-guide/ When 68% of Google searches no longer produce a click and AI hands the answer straight to the user, the "rankings" that classic SEO fights for are quietly losing value. GEO (Generative Engine Optimization) fights for something else: getting the AI to understand, trust, and cite you when it writes the answer. A pillar-length guide from first principles to methodology to a real case study on my own blog — and the opening chapter of the GEO series. GEO SEO AI Search Generative Engine Optimization Content Strategy LLM AEO GEO complete guide cover showing the five-layer model from SEO ranking to AI citation https://cubxxw.com/ai-agent/posts/dissecting-open-lovable/ Mon, 29 Jun 2026 09:30:00 +0800 Sat, 11 Jul 2026 08:33:54 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/dissecting-open-lovable/ 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't that it generates code — it'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. AI Agent LLM Architecture Sandbox Harness Engineering https://cubxxw.com/ai-agent/posts/relay-agent-architecture-design/ Wed, 24 Jun 2026 10:00:00 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/relay-agent-architecture-design/ 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. AI Agent LangGraph LLM Architecture TypeScript Python Technical diagram showing the five-layer architecture of the Relay job-search Agent system: UI layer, API orchestration layer, Agent execution layer, shared services layer, and data and integration layer https://cubxxw.com/ai-agent/posts/context-engineering-the-new-foundation/ Mon, 22 Jun 2026 03:30:00 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/context-engineering-the-new-foundation/ Why context engineering supersedes prompt engineering — a systematic look at context assembly, retrieval, compression, and eviction patterns, drawing from Anthropic, Karpathy, LangChain, and Manus. Context Engineering AI LLM Agent MCP 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 https://cubxxw.com/ai-agent/posts/agent-engineering-the-98-percent-harness/ Wed, 17 Jun 2026 09:30:00 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/agent-engineering-the-98-percent-harness/ 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%. AI Agent LLM Context Engineering Architecture MCP 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 https://cubxxw.com/ai-agent/posts/agent-identity-from-locke-to-openclaw/ Sun, 05 Apr 2026 20:00:00 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/agent-identity-from-locke-to-openclaw/ AI agent amnesia isn't a functional defect—it's a fundamental gap in the trust account. Starting from Locke'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. AI Open Source Monthly Notes Locke Identity Spec — Agent Identity Engineering Stack https://cubxxw.com/ai-agent/posts/harnessing-language-model-applications-with-langchain-a-developer-is-guide/ Wed, 22 May 2024 21:37:34 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/harnessing-language-model-applications-with-langchain-a-developer-is-guide/ This guide provides an in-depth look into the integration and application of language models using the LangChain framework, tailored for developers looking to streamline complex implementations. AI Development Language Models LangChain AI Frameworks Machine Learning API Integration Natural Language Processing (NLP) Software Development Programming Automation AI Tools OpenAI Deep Learning https://cubxxw.com/ai-agent/posts/exploring-large-language-models-llms-pioneering-ai-understanding-generation-human-language/ Wed, 15 May 2024 20:12:29 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/exploring-large-language-models-llms-pioneering-ai-understanding-generation-human-language/ This article explores the transformative capabilities of Large Language Models (LLMs), which are designed to understand and generate human language, demonstrating a pioneering role in AI technology. These models showcase emergent abilities that significantly surpass those of their predecessors by leveraging vast amounts of data and sophisticated machine learning architectures. Security Functional Programming LLM https://cubxxw.com/ai-agent/posts/sora-ease-guide-mastering-sora-ai-for-developers/ Thu, 14 Mar 2024 08:44:13 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/sora-ease-guide-mastering-sora-ai-for-developers/ 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'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. Blog sora AI github https://cubxxw.com/ai-agent/posts/exploring-sora-technology-for-enthusiasts-and-developers/ Sat, 24 Feb 2024 13:30:15 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/exploring-sora-technology-for-enthusiasts-and-developers/ 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. Blog sora AI chatgpt https://cubxxw.com/ai-agent/posts/vector-database-learning/ Sat, 20 Jan 2024 12:57:15 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/vector-database-learning/ 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. Blog AI Database https://cubxxw.com/ai-agent/posts/emerging-challenges-and-trends-in-2024/ Sun, 14 Jan 2024 22:52:24 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/emerging-challenges-and-trends-in-2024/ Explore the latest trends and challenges in 2024 in the world of technology and development. Blog https://cubxxw.com/ai-agent/posts/use-auto-gpt/ Sat, 18 Mar 2023 16:28:30 +0800 Sat, 11 Jul 2026 08:22:51 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-agent/posts/use-auto-gpt/ Learn how to install and use Auto-GPT for autonomous AI task automation, including setup, configuration, and practical use cases. Blog AI autogpt